U1-R2B Research Design UI + Manual Override

app.py

@@ -306,6 +306,8 @@ for key, default in {
     "sp_completed_download_scroll_task_id": "",
     "sp_method_confirmation": "",
     "sp_method_confirmation_signature": "",
+    "sp_method_selector": "qualitative",
+    "sp_method_selector_signature": "",
     "sp_material_document_use": "reference",
 }.items():
     if key not in st.session_state:
@@ -506,7 +508,6 @@ def _method_intent_signature() -> str:
     payload = {
         "topic": str(st.session_state.get("sp_topic") or DEFAULT_TOPIC),
         "keywords": str(st.session_state.get("sp_keywords") or DEFAULT_KEYWORDS),
-        "materials": _uploaded_material_descriptors(),
     }
     return hashlib.sha256(
         json.dumps(payload, ensure_ascii=False, sort_keys=True, separators=(",", ":")).encode("utf-8")
@@ -776,8 +777,9 @@ def _process_pending_launch(lang_code: str) -> None:
     idempotency_key = str(pending.get("idempotency_key") or "").strip()
     pending_signature = str(pending.get("method_intent_signature") or "").strip()
 
-    # U1-R2 repeats the capability preflight immediately before any task/quota
-    # creation so a stale rerun or modified session state cannot bypass it.
+    # U1-R2B repeats the capability preflight immediately before any task/quota
+    # creation so a stale rerun or modified session state cannot bypass a
+    # manually adjusted or auto/default research design.
     preflight, current_signature = _current_method_preflight(
         confirmed_method_family=pending_family or None
     )
@@ -797,7 +799,7 @@ def _process_pending_launch(lang_code: str) -> None:
             method_label = tr(lang_code, f"method_{resolved_family}")
             st.warning(tr(lang_code, "method_not_supported", method=method_label))
         else:
-            st.warning(tr(lang_code, "method_confirmation_required"))
+            st.warning(tr(lang_code, "method_resolution_invalid"))
         return
 
     projection = get_product_ui_projection()
@@ -1504,30 +1506,48 @@ def render_workspace_controls(user):
         }
         method_signature = ""
     else:
-        preflight, method_signature = _current_method_preflight()
-        if str(preflight.get("block_reason") or "") == "method_confirmation_required":
-            stored = str(st.session_state.get("sp_method_confirmation") or "").strip().casefold()
-            stored_sig = str(st.session_state.get("sp_method_confirmation_signature") or "").strip()
-            selected_default = stored if stored_sig == method_signature and stored in METHOD_FAMILIES else ""
-            options = [""] + list(METHOD_FAMILIES)
-            selected = st.selectbox(
-                tr(lang_code, "method_confirm_label"),
-                options,
-                index=options.index(selected_default) if selected_default in options else 0,
-                format_func=lambda family: (
-                    tr(lang_code, "method_confirm_placeholder")
-                    if not family else tr(lang_code, f"method_{family}")
-                ),
-            )
-            if selected:
-                st.session_state["sp_method_confirmation"] = selected
-                st.session_state["sp_method_confirmation_signature"] = method_signature
-                preflight, method_signature = _current_method_preflight(confirmed_method_family=selected)
+        # U1-R2B: Title + Keywords determine the automatic design. If no design
+        # cue is present, the resolver defaults to qualitative. The selector is
+        # always visible for a new task and may override the automatic/default
+        # choice, but the capability gate still runs afterwards.
+        auto_preflight, method_signature = _current_method_preflight(confirmed_method_family="")
+        auto_family = str(auto_preflight.get("method_family") or "qualitative").strip().casefold()
+        if auto_family not in METHOD_FAMILIES:
+            auto_family = "qualitative"
+
+        stored = str(st.session_state.get("sp_method_confirmation") or "").strip().casefold()
+        stored_sig = str(st.session_state.get("sp_method_confirmation_signature") or "").strip()
+        selected_default = stored if stored_sig == method_signature and stored in METHOD_FAMILIES else auto_family
+
+        # A changed Title/Keywords signature invalidates a previous manual
+        # override and resets the visible selector to the fresh auto/default
+        # result. This prevents stale method choices leaking across topics.
+        selector_sig = str(st.session_state.get("sp_method_selector_signature") or "").strip()
+        if selector_sig != method_signature:
+            st.session_state["sp_method_confirmation"] = ""
+            st.session_state["sp_method_confirmation_signature"] = ""
+            st.session_state["sp_method_selector"] = auto_family
+            st.session_state["sp_method_selector_signature"] = method_signature
+            selected_default = auto_family
+        elif str(st.session_state.get("sp_method_selector") or "").strip().casefold() not in METHOD_FAMILIES:
+            st.session_state["sp_method_selector"] = selected_default
+
+        selected = st.selectbox(
+            tr(lang_code, "detected_method_label"),
+            list(METHOD_FAMILIES),
+            index=list(METHOD_FAMILIES).index(selected_default),
+            format_func=lambda family: tr(lang_code, f"method_{family}"),
+            key="sp_method_selector",
+            disabled=active,
+        )
+        selected = str(selected or auto_family).strip().casefold()
+        if selected != auto_family:
+            st.session_state["sp_method_confirmation"] = selected
+            st.session_state["sp_method_confirmation_signature"] = method_signature
         else:
-            # Explicit Title/Keyword cues are authoritative; stale confirmations
-            # from a previous ambiguous intent cannot override them.
             st.session_state["sp_method_confirmation"] = ""
             st.session_state["sp_method_confirmation_signature"] = ""
+        preflight, method_signature = _current_method_preflight(confirmed_method_family=selected)
 
     method_family = str(preflight.get("method_family") or "undetermined").strip().casefold()
     method_label = (
@@ -1535,14 +1555,13 @@ def render_workspace_controls(user):
         if method_family in METHOD_FAMILIES
         else tr(lang_code, "method_undetermined")
     )
-    st.markdown(f"**{tr(lang_code, 'detected_method_label')}:** {method_label}")
+    if active:
+        st.markdown(f"**{tr(lang_code, 'detected_method_label')}:** {method_label}")
     st.caption(tr(lang_code, "method_detection_explanation"))
 
     block_reason = str(preflight.get("block_reason") or "")
     if block_reason == "method_capability_blocked":
         st.warning(tr(lang_code, "method_not_supported", method=method_label))
-    elif block_reason == "method_confirmation_required":
-        st.warning(tr(lang_code, "method_confirmation_required"))
     elif not active:
         st.info(tr(lang_code, "method_supported", method=method_label))
 
@@ -1639,7 +1658,7 @@ def render_workspace_controls(user):
                 if reason == "method_capability_blocked":
                     st.warning(tr(lang_code, "method_not_supported", method=method_label))
                 else:
-                    st.warning(tr(lang_code, "method_confirmation_required"))
+                    st.warning(tr(lang_code, "method_resolution_invalid"))
             else:
                 resolved_family = str(click_preflight.get("method_family") or "").strip().casefold()
                 resolved_mode = str(click_preflight.get("legacy_policy_lane") or "").strip().lower()

core/advanced_method_registry.py

@@ -1,10 +1,13 @@
 # -*- coding: utf-8 -*-
-"""Deterministic method-family resolver and capability preflight for SmartPaper.
+"""Deterministic research-design resolver and capability preflight for SmartPaper.
 
-U1-R2 derives an academic ``method_family`` from frozen user intent
-(Title/Keywords plus light material metadata), maps that family to the legacy
-AMJ/ASQ policy lane, and blocks unsupported method families before task/quota
-creation.  It never selects providers/models and never rewrites Title/Keywords.
+U1-R2B derives an academic ``method_family`` from Title + Keywords only, maps
+that family to the legacy AMJ/ASQ policy lane, and blocks unsupported method
+families before task/quota creation.  When no design cue is detected, the
+resolver defaults to qualitative research.  A user's manual design adjustment
+is authoritative for the current Title + Keywords signature, but it never
+bypasses the capability gate.  This module never selects providers/models and
+never rewrites Title/Keywords.
 """
 from __future__ import annotations
 
@@ -12,7 +15,7 @@ import os
 import re
 from typing import Any, Iterable
 
-METHOD_RESOLVER_VERSION = "smartpaper-auto-method-resolver-v2"
+METHOD_RESOLVER_VERSION = "smartpaper-auto-method-resolver-v3"
 METHOD_CAPABILITY_REGISTRY_VERSION = "smartpaper-method-capability-registry-v2"
 
 METHOD_FAMILIES = (
@@ -197,11 +200,12 @@ def resolve_method_family(
     *,
     materials: Iterable[Any] | None = None,
 ) -> dict[str, Any]:
-    """Resolve an academic method family from frozen user intent.
+    """Resolve one academic research-design family from Title + Keywords.
 
-    Explicit Title/Keyword cues are authoritative. Material *metadata* can add
-    support, but never overrides an explicit method cue. File contents are
-    deliberately not read here.
+    ``materials`` remains in the public signature for backward compatibility,
+    but U1-R2B deliberately does not use uploaded material names or contents to
+    infer the design.  If no explicit design cue is found, qualitative research
+    is selected as the non-blocking default.
     """
     source_title = _normalized_text(title)
     source_keywords = _keyword_items(keywords)
@@ -217,41 +221,28 @@ def resolve_method_family(
                 chosen = family
 
     descriptors = _material_descriptors(materials)
-    material_hits: list[str] = []
-    for descriptor in descriptors:
-        name = descriptor.get("name") or ""
-        for family, patterns in _MATERIAL_NAME_PATTERNS:
-            if any(re.search(pattern, name, flags=re.I | re.UNICODE) for pattern in patterns):
-                if family not in material_hits:
-                    material_hits.append(family)
 
-    # Explicit academic wording outranks material filename hints.  When there is
-    # no explicit cue, one unique material hint is useful but remains ambiguous
-    # until future U1 benchmarks justify auto-acceptance.
-    confidence = "HIGH_CONFIDENCE" if chosen else "AMBIGUOUS"
+    confidence = "AUTO_DETECTED" if chosen else "DEFAULT_QUALITATIVE"
     reason_codes: list[str] = []
     if chosen:
         reason_codes.append("explicit_title_keyword_method_cue")
         conflicting = [row["method_family"] for row in hits if row["method_family"] != chosen]
         if conflicting:
             reason_codes.append("lower_priority_method_cues_present")
-    elif len(material_hits) == 1:
-        chosen = material_hits[0]
-        reason_codes.append("material_filename_method_hint_only")
-    elif len(material_hits) > 1:
-        reason_codes.append("conflicting_material_method_hints")
     else:
+        chosen = "qualitative"
         reason_codes.append("no_explicit_method_cue")
+        reason_codes.append("default_qualitative")
 
     capability = method_capability(chosen)
     return {
         "resolver_version": METHOD_RESOLVER_VERSION,
         "shadow_only": False,
-        "method_family": chosen or "undetermined",
+        "method_family": chosen,
         "confidence": confidence,
         "reason_codes": reason_codes,
         "title_keyword_hits": hits,
-        "material_hint_families": material_hits,
+        "material_hint_families": [],
         "material_count": len(descriptors),
         "derived_policy_lane": capability.get("legacy_policy_lane"),
         "capability": capability,
@@ -279,35 +270,26 @@ def resolve_generation_preflight(
 ) -> dict[str, Any]:
     """Resolve method + capability before any task/quota creation.
 
-    A user confirmation is accepted only when deterministic resolution is
-    genuinely ambiguous. Explicit Title/Keyword cues always remain authoritative.
+    A valid manual selection may override either an auto-detected design or the
+    qualitative fallback.  Capability validation always runs after the manual
+    selection, so an unsupported advanced method still cannot create a task or
+    reserve quota.
     """
     resolution = resolve_method_family(title, keywords, materials=materials)
     family = str(resolution.get("method_family") or "").strip().casefold()
-    confidence = str(resolution.get("confidence") or "").strip().upper()
 
     confirmed = str(confirmed_method_family or "").strip().casefold()
-    if confidence == "AMBIGUOUS":
-        if confirmed in METHOD_FAMILIES:
-            family = confirmed
-            capability = method_capability(family)
-            resolution = dict(resolution)
-            resolution.update({
-                "method_family": family,
-                "confidence": "USER_CONFIRMED",
-                "derived_policy_lane": capability.get("legacy_policy_lane"),
-                "capability": capability,
-                "reason_codes": list(resolution.get("reason_codes") or []) + ["user_confirmed_method_family"],
-            })
-        else:
-            return {
-                "can_start_generation": False,
-                "block_reason": "method_confirmation_required",
-                "resolution": resolution,
-                "method_family": family or "undetermined",
-                "legacy_policy_lane": None,
-                "capability": method_capability(family),
-            }
+    if confirmed in METHOD_FAMILIES and confirmed != family:
+        family = confirmed
+        capability = method_capability(family)
+        resolution = dict(resolution)
+        resolution.update({
+            "method_family": family,
+            "confidence": "USER_OVERRIDE",
+            "derived_policy_lane": capability.get("legacy_policy_lane"),
+            "capability": capability,
+            "reason_codes": list(resolution.get("reason_codes") or []) + ["user_override_method_family"],
+        })
 
     capability = method_capability(family)
     lane = str(capability.get("legacy_policy_lane") or "").strip().casefold() or None
@@ -315,7 +297,7 @@ def resolve_generation_preflight(
     if family not in METHOD_FAMILIES or not lane:
         return {
             "can_start_generation": False,
-            "block_reason": "method_confirmation_required",
+            "block_reason": "method_resolution_invalid",
             "resolution": resolution,
             "method_family": family or "undetermined",
             "legacy_policy_lane": None,

i18n.py

@@ -276,25 +276,26 @@ TEXTS: dict[str, dict[str, str]] = {
         "download_asq_template": "📥 一键下载 TXT 访谈模板",
         "start_asq": "🚀 启动 ASQ 模式生成",
         "research_materials_label": "研究资料（可选）",
-        "research_materials_help": "支持 PDF、TXT、DOC、DOCX、CSV、XLS、XLSX。SmartPaper 会结合论文题目、关键词与文件特征判断研究设计和资料用途。",
+        "research_materials_help": "支持 PDF、TXT、DOC、DOCX、CSV、XLS、XLSX。上传资料用于辅助论文生成；研究设计仅根据论文题目和关键词自动识别。",
         "drop_research_materials": "将研究资料拖到这里",
         "limit_research_materials": "每个文件最大 1 GB · PDF, TXT, DOC, DOCX, CSV, XLS, XLSX",
         "material_document_use_label": "如何使用上传的 PDF/DOC/DOCX 文件？",
         "material_use_reference": "作为参考文献资料",
         "material_use_research": "作为研究资料",
-        "detected_method_label": "研究设计（自动识别）",
-        "method_detection_explanation": "SmartPaper 根据论文题目、关键词和可选研究资料自动识别研究方法；不会修改你的题目或关键词。",
-        "method_confirm_label": "请确认研究设计",
-        "method_confirm_placeholder": "请选择研究方法",
-        "method_confirmation_required": "当前信息不足以可靠识别研究设计，请先确认研究方法。",
-        "method_not_supported": "已识别为“{method}”。该研究方法的专用生成引擎尚未开放；本次不会创建任务，也不会占用额度。",
-        "method_supported": "已识别为“{method}”。系统将按对应研究流程生成论文。",
-        "method_undetermined": "尚未确定",
-        "method_survey_path": "问卷与路径关系研究",
-        "method_qualitative": "定性研究",
-        "method_fsqca": "fsQCA 组态研究",
+        "detected_method_label": "研究设计（自动识别，可调整）",
+        "method_detection_explanation": "基于论文题目和关键词自动识别研究设计。未识别时默认质性研究，可手动调整。",
+        "method_confirm_label": "调整研究设计",
+        "method_confirm_placeholder": "请选择研究设计",
+        "method_confirmation_required": "研究设计状态异常，请重新选择研究设计。",
+        "method_resolution_invalid": "研究设计状态异常，请重新选择研究设计。",
+        "method_not_supported": "当前研究设计为“{method}”。该研究设计的专用生成引擎尚未开放；本次不会创建任务，也不会占用额度。",
+        "method_supported": "当前研究设计为“{method}”。系统将按对应研究流程生成论文。",
+        "method_undetermined": "质性研究（默认）",
+        "method_survey_path": "问卷量化研究",
+        "method_qualitative": "质性研究",
+        "method_fsqca": "模糊集定性比较分析（fsQCA）",
         "method_meta_analysis": "元分析",
-        "method_panel_econometrics": "面板计量研究",
+        "method_panel_econometrics": "面板数据计量分析",
         "method_bibliometric_integrative_review": "文献计量与整合性综述",
         "adaptive_template_expander": "💡 推荐模板（可选）",
         "download_research_template": "📥 下载研究资料模板",
@@ -517,26 +518,27 @@ TEXTS: dict[str, dict[str, str]] = {
         "download_asq_template": "📥 Download TXT Interview Template",
         "start_asq": "🚀 Start ASQ Generation",
         "research_materials_label": "Research Materials (Optional)",
-        "research_materials_help": "Supports PDF, TXT, DOC, DOCX, CSV, XLS, and XLSX. SmartPaper uses the Title, Keywords, and file characteristics to infer the research design and material role.",
+        "research_materials_help": "Supports PDF, TXT, DOC, DOCX, CSV, XLS, and XLSX. Uploaded files support paper generation; Research Design is identified from the Title and Keywords only.",
         "drop_research_materials": "Drag research materials here",
         "limit_research_materials": "Up to 1 GB per file · PDF, TXT, DOC, DOCX, CSV, XLS, XLSX",
         "material_document_use_label": "How should SmartPaper use the uploaded PDF/DOC/DOCX files?",
         "material_use_reference": "Use as reference literature",
         "material_use_research": "Use as research materials",
-        "detected_method_label": "Research Design (Auto-detected)",
-        "method_detection_explanation": "SmartPaper infers the research method from the Title, Keywords, and optional materials without rewriting your Title or Keywords.",
-        "method_confirm_label": "Confirm Research Design",
-        "method_confirm_placeholder": "Select a research method",
-        "method_confirmation_required": "The current information is insufficient for reliable method detection. Please confirm the research design first.",
-        "method_not_supported": "Detected method: {method}. Its dedicated generation engine is not yet enabled, so no task will be created and no quota will be used.",
-        "method_supported": "Detected method: {method}. SmartPaper will use the corresponding research workflow.",
-        "method_undetermined": "Not yet determined",
-        "method_survey_path": "Survey and Path-Relationship Study",
-        "method_qualitative": "Qualitative Study",
-        "method_fsqca": "fsQCA Configurational Study",
+        "detected_method_label": "Research Design (Auto-detected, Adjustable)",
+        "method_detection_explanation": "Automatically identifies the Research Design from the Title and Keywords. If none is identified, Qualitative Research is used by default. You can adjust it manually.",
+        "method_confirm_label": "Adjust Research Design",
+        "method_confirm_placeholder": "Select a Research Design",
+        "method_confirmation_required": "The Research Design state is invalid. Please select a Research Design again.",
+        "method_resolution_invalid": "The Research Design state is invalid. Please select a Research Design again.",
+        "method_not_supported": "Current Research Design: {method}. Its dedicated generation engine is not yet enabled, so no task will be created and no quota will be used.",
+        "method_supported": "Current Research Design: {method}. SmartPaper will use the corresponding research workflow.",
+        "method_undetermined": "Qualitative Research (Default)",
+        "method_survey_path": "Survey-Based Quantitative Research",
+        "method_qualitative": "Qualitative Research",
+        "method_fsqca": "Fuzzy-Set Qualitative Comparative Analysis (fsQCA)",
         "method_meta_analysis": "Meta-Analysis",
-        "method_panel_econometrics": "Panel Econometric Study",
-        "method_bibliometric_integrative_review": "Bibliometric and Integrative Review",
+        "method_panel_econometrics": "Panel Data Econometric Analysis",
+        "method_bibliometric_integrative_review": "Bibliometric Analysis and Integrative Literature Review",
         "adaptive_template_expander": "💡 Recommended Template (Optional)",
         "download_research_template": "📥 Download Research Materials Template",
         "template_help_survey_path": "A variable-level or statistical-results table is recommended. If no data are uploaded, SmartPaper may construct draft evidence under the project provenance rules.",
@@ -758,26 +760,27 @@ TEXTS: dict[str, dict[str, str]] = {
         "download_asq_template": "📥 Скачать TXT-шаблон интервью",
         "start_asq": "🚀 Запустить формирование в режиме ASQ",
         "research_materials_label": "Материалы исследования (необязательно)",
-        "research_materials_help": "Поддерживаются PDF, TXT, DOC, DOCX, CSV, XLS и XLSX. SmartPaper определяет дизайн исследования и назначение материалов по названию статьи, ключевым словам и характеристикам файлов.",
+        "research_materials_help": "Поддерживаются PDF, TXT, DOC, DOCX, CSV, XLS и XLSX. Загруженные файлы используются как дополнительные исследовательские или справочные материалы; дизайн исследования определяется по названию статьи и ключевым словам.",
         "drop_research_materials": "Перетащите исследовательские материалы сюда",
         "limit_research_materials": "До 1 ГБ на файл · PDF, TXT, DOC, DOCX, CSV, XLS, XLSX",
         "material_document_use_label": "Как использовать загруженные файлы PDF/DOC/DOCX?",
         "material_use_reference": "Как научные источники",
         "material_use_research": "Как исследовательские материалы",
-        "detected_method_label": "Дизайн исследования (определяется автоматически)",
-        "method_detection_explanation": "SmartPaper определяет метод по названию статьи, ключевым словам и необязательным материалам, не изменяя название и ключевые слова.",
-        "method_confirm_label": "Подтвердите дизайн исследования",
-        "method_confirm_placeholder": "Выберите метод исследования",
-        "method_confirmation_required": "Имеющейся информации недостаточно для надёжного определения метода. Сначала подтвердите дизайн исследования.",
-        "method_not_supported": "Определён метод «{method}». Специализированный движок этого метода пока не включён, поэтому задача не будет создана и кв��та не будет списана.",
-        "method_supported": "Определён метод «{method}». SmartPaper применит соответствующий исследовательский процесс.",
-        "method_undetermined": "Пока не определён",
-        "method_survey_path": "Опросное исследование и анализ связей",
+        "detected_method_label": "Дизайн исследования (определяется автоматически, можно изменить)",
+        "method_detection_explanation": "Дизайн исследования определяется автоматически по названию статьи и ключевым словам. Если определить его не удаётся, по умолчанию выбирается качественное исследование. Выбор можно изменить вручную.",
+        "method_confirm_label": "Изменить дизайн исследования",
+        "method_confirm_placeholder": "Выберите дизайн исследования",
+        "method_confirmation_required": "Некорректное состояние дизайна исследования. Выберите дизайн исследования повторно.",
+        "method_resolution_invalid": "Некорректное состояние дизайна исследования. Выберите дизайн исследования повторно.",
+        "method_not_supported": "Текущий дизайн исследования: «{method}». Специализированный движок для этого дизайна пока не включён, поэтому задача не будет создана и квота не будет списана.",
+        "method_supported": "Текущий дизайн исследования: «{method}». SmartPaper применит соответствующий исследовательский процесс.",
+        "method_undetermined": "Качественное исследование (по умолчанию)",
+        "method_survey_path": "Количественное исследование на основе опроса",
         "method_qualitative": "Качественное исследование",
-        "method_fsqca": "Конфигурационное исследование fsQCA",
-        "method_meta_analysis": "Мета-анализ",
-        "method_panel_econometrics": "Панельное эконометрическое исследование",
-        "method_bibliometric_integrative_review": "Библиометрический и интегративный обзор",
+        "method_fsqca": "Качественный сравнительный анализ на основе нечётких множеств (fsQCA)",
+        "method_meta_analysis": "Метаанализ",
+        "method_panel_econometrics": "Эконометрический анализ панельных данных",
+        "method_bibliometric_integrative_review": "Библиометрический анализ и интегративный обзор литературы",
         "adaptive_template_expander": "💡 Рекомендуемый шаблон (необязательно)",
         "download_research_template": "📥 Скачать шаблон исследовательских материалов",
         "template_help_survey_path": "Рекомендуется таблица переменных или статистических результатов. При отсутствии данных SmartPaper может сформировать черновые доказательные материалы в рамках правил происхождения данных.",
@@ -999,26 +1002,27 @@ TEXTS: dict[str, dict[str, str]] = {
         "download_asq_template": "📥 TXT сұхбат үлгісін жүктеу",
         "start_asq": "🚀 ASQ режимінде дайындауды бастау",
         "research_materials_label": "Зерттеу материалдары (міндетті емес)",
-        "research_materials_help": "PDF, TXT, DOC, DOCX, CSV, XLS және XLSX форматтары қолдау табады. SmartPaper мақала атауы, түйін сөздер және файл сипаттары негізінде зерттеу дизайны мен материалдардың қызметін анықтайды.",
+        "research_materials_help": "PDF, TXT, DOC, DOCX, CSV, XLS және XLSX форматтары қолдау табады. Жүктелген файлдар қосымша зерттеу немесе анықтамалық материал ретінде пайдаланылады; зерттеу дизайны мақала тақырыбы мен кілт сөздер бойынша анықталады.",
         "drop_research_materials": "Зерттеу материалдарын ос�� жерге сүйреп әкеліңіз",
         "limit_research_materials": "Әр файлға 1 ГБ дейін · PDF, TXT, DOC, DOCX, CSV, XLS, XLSX",
         "material_document_use_label": "Жүктелген PDF/DOC/DOCX файлдарын қалай пайдалану керек?",
         "material_use_reference": "Ғылыми дереккөз ретінде",
         "material_use_research": "Зерттеу материалы ретінде",
-        "detected_method_label": "Зерттеу дизайны (автоматты түрде анықталады)",
-        "method_detection_explanation": "SmartPaper зерттеу әдісін мақала атауы, түйін сөздер және қосымша материалдар негізінде анықтайды; мақала атауы мен түйін сөздерді өзгертпейді.",
-        "method_confirm_label": "Зерттеу дизайнын растаңыз",
-        "method_confirm_placeholder": "Зерттеу әдісін таңдаңыз",
-        "method_confirmation_required": "Қазіргі ақпарат зерттеу әдісін сенімді анықтауға жеткіліксіз. Алдымен зерттеу дизайнын растаңыз.",
-        "method_not_supported": "«{method}» әдісі анықталды. Бұл әдістің арнайы генерация қозғалтқышы әлі қосылмаған, сондықтан тапсырма құрылмайды және квота пайдаланылмайды.",
-        "method_supported": "«{method}» әдісі анықталды. SmartPaper тиісті зерттеу үдерісін қолданады.",
-        "method_undetermined": "Әзірге анықталмаған",
-        "method_survey_path": "Сауалнама және байланыстарды талдау зерттеуі",
+        "detected_method_label": "Зерттеу дизайны (автоматты түрде анықталады, өзгертуге болады)",
+        "method_detection_explanation": "Зерттеу дизайны мақала тақырыбы мен кілт сөздер негізінде автоматты түрде анықталады. Анықталмаса, әдепкі бойынша сапалық зерттеу таңдалады. Таңдауды қолмен өзгертуге болады.",
+        "method_confirm_label": "Зерттеу дизайнын өзгерту",
+        "method_confirm_placeholder": "Зерттеу дизайнын таңдаңыз",
+        "method_confirmation_required": "Зерттеу дизайнының күйі жарамсыз. Зерттеу дизайнын қайта таңдаңыз.",
+        "method_resolution_invalid": "Зерттеу дизайнының күйі жарамсыз. Зерттеу дизайнын қайта таңдаңыз.",
+        "method_not_supported": "Ағымдағы зерттеу дизайны: «{method}». Бұл дизайнның арнайы генерация қозғалтқышы әлі қосылмаған, сондықтан тапсырма құрылмайды және квота пайдаланылмайды.",
+        "method_supported": "Ағымдағы зерттеу дизайны: «{method}». SmartPaper тиісті зерттеу үдерісін қолданады.",
+        "method_undetermined": "Сапалық зерттеу (әдепкі)",
+        "method_survey_path": "Сауалнамаға негізделген сандық зерттеу",
         "method_qualitative": "Сапалық зерттеу",
-        "method_fsqca": "fsQCA конфигурациялық зерттеуі",
+        "method_fsqca": "Бұлыңғыр жиындарға негізделген сапалық салыстырмалы талдау (fsQCA)",
         "method_meta_analysis": "Мета-талдау",
-        "method_panel_econometrics": "Панельдік эконометрикалық зерттеу",
-        "method_bibliometric_integrative_review": "Библиометриялық және интегративті шолу",
+        "method_panel_econometrics": "Панельдік деректерді эконометриялық талдау",
+        "method_bibliometric_integrative_review": "Библиометриялық талдау және әдебиеттерге интегративті шолу",
         "adaptive_template_expander": "💡 Ұсынылатын үлгі (міндетті емес)",
         "download_research_template": "📥 Зерттеу материалдары үлгісін жүктеу",
         "template_help_survey_path": "Айнымалылар немесе статистикалық нәтижелер кестесі ұсынылады. Дерек жүктелмесе, SmartPaper жоба ережелеріне сәйкес бастапқы нұсқаға арналған көмекші дәлелдерді құра алады.",