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S0-R1-C5.5-R6-R12 Derived Statistical Reporting Frame
#100
by GuXiaopeng - opened
- core/quantitative_engine.py +32 -4
core/quantitative_engine.py
CHANGED
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@@ -1160,6 +1160,31 @@ Keywords: {keywords}"""
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)
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if re.search(strong_actor, actor, flags=re.I):
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return "ANALYTICAL_ACTOR"
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if re.search(r"\b(?:model|procedure|method|computation|calculation)\b", actor, flags=re.I):
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return "WEAK_ANALYTICAL_ACTOR"
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return "OTHER_ACTOR"
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@@ -1173,6 +1198,8 @@ Keywords: {keywords}"""
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r"coefficient(?:\s+estimates?)?s?|standard\s+errors?|"
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r"parameter\s+estimates?|point\s+estimates?|indirect\s+estimates?|"
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r"direct\s+estimates?|effect-size\s+estimates?|"
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r"correlations?|covariances?|variances?|loadings?|"
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r"test\s+statistics?|p[- ]?values?|vif(?:s|\s+values)?|"
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r"cronbach(?:'s)?\s+alpha|composite\s+reliability|"
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@@ -1194,14 +1221,15 @@ Keywords: {keywords}"""
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# causal gate must not terminate the manuscript for it.
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if actor == "ANALYTICAL_ACTOR":
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return True
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if actor
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return True
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return False
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# Strong causal predicates remain fail-closed. Preserve only the
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# narrow statistical-reporting idiom already accepted by R1,
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# ``the analysis led to the following numerical estimate``
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-
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def direct_match_is_disclaimed(match):
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prefix = value[max(0, match.start() - 220):match.start()]
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)
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if re.search(strong_actor, actor, flags=re.I):
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return "ANALYTICAL_ACTOR"
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+
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# R6-R12 derived statistical-expression actor frame. Phrases such
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# as ``the product of the two constituent associations`` and
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# ``multiplying the path coefficients`` denote a deterministic
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# statistical calculation, not a substantive study construct.
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# They receive a distinct actor type so ambiguous reporting verbs
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# (yields/produces/generates/results in) are exempt *only* when the
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# predicate target is also a recognised statistical reporting
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# object. This keeps construct-level uses such as ``X yields lower
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# anxiety`` fail-closed.
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derived_statistical_actor = (
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r"\b(?:"
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r"(?:the\s+)?product\s+of\s+(?:the\s+)?"
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r"(?:(?:two|constituent|standardized|standardised|estimated|path)\s+){0,4}"
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r"(?:associations?|coefficients?|paths?|estimates?)|"
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r"(?:coefficient|association|path)[- ]product(?:\s+(?:calculation|computation|estimate))?|"
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r"path[- ]product(?:\s+(?:calculation|computation|estimate))?|"
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r"multiplying\s+(?:the\s+)?(?:(?:two|constituent|standardized|standardised|path)\s+){0,4}"
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r"(?:associations?|coefficients?|paths?)|"
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r"multiplication\s+of\s+(?:the\s+)?(?:(?:two|constituent|standardized|standardised|path)\s+){0,4}"
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r"(?:associations?|coefficients?|paths?)"
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r")\b"
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)
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if re.search(derived_statistical_actor, actor, flags=re.I):
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return "DERIVED_STATISTICAL_ACTOR"
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if re.search(r"\b(?:model|procedure|method|computation|calculation)\b", actor, flags=re.I):
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return "WEAK_ANALYTICAL_ACTOR"
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return "OTHER_ACTOR"
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r"coefficient(?:\s+estimates?)?s?|standard\s+errors?|"
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r"parameter\s+estimates?|point\s+estimates?|indirect\s+estimates?|"
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r"direct\s+estimates?|effect-size\s+estimates?|"
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r"indirect\s+associations?|association\s+estimates?|"
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r"standardized\s+associations?|standardised\s+associations?|"
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r"correlations?|covariances?|variances?|loadings?|"
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r"test\s+statistics?|p[- ]?values?|vif(?:s|\s+values)?|"
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r"cronbach(?:'s)?\s+alpha|composite\s+reliability|"
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# causal gate must not terminate the manuscript for it.
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if actor == "ANALYTICAL_ACTOR":
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return True
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if actor in {"WEAK_ANALYTICAL_ACTOR", "DERIVED_STATISTICAL_ACTOR"} and predicate_target_is_reporting_output(match):
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return True
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return False
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# Strong causal predicates remain fail-closed. Preserve only the
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# narrow statistical-reporting idiom already accepted by R1/R6-R12,
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# such as ``the analysis led to the following numerical estimate``
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# or a derived coefficient product leading to an estimate.
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return actor in {"ANALYTICAL_ACTOR", "WEAK_ANALYTICAL_ACTOR", "DERIVED_STATISTICAL_ACTOR"} and predicate_target_is_reporting_output(match)
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def direct_match_is_disclaimed(match):
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prefix = value[max(0, match.start() - 220):match.start()]
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