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v4-HOT/no_ai/pilot/20260523_163822.json
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@@ -4,7 +4,7 @@
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"condition": "no_ai",
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"run_mode": "pilot",
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"started_at": "2026-05-23T16:38:22.734458+10:00",
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"ended_at": "2026-05-23T16:38:
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"model": "gpt-5.4-nano-2026-03-17",
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"case_id": "ai-predictive-analytics",
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"perfect_answer": {
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"text": "The university should not deploy this AI prediction system. The way it ranks students by an algorithmic guess about their future, then hands that ranking to teachers, changes the relationship before any teaching happens. The label is in the room even if no one mentions it, and the prediction becomes self-fulfilling. There is also a fairness gap: the system uses platform activity, which depends on bandwidth, caregiving, and accommodations, so students who study offline look 'inactive' even when they are learning fine. The harm concentrates on those with the least margin. The university should invest in course design that supports varied learners directly, not in sorting students by an algorithm.",
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"char_count": 703,
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"changed_since_prev": false
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}
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],
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"essays": {
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@@ -46,13 +54,13 @@
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},
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"upload_errors": [],
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"session_summary": {
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"n_argument_snapshots":
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"n_feedback_events": 0,
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"initial_argument_char_count": 703,
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"final_argument_char_count": 703,
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"argument_changed_during_session": false,
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"essay_char_count": 3169,
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"plan_probes_count": 6,
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"outcome": "
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}
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}
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"condition": "no_ai",
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"run_mode": "pilot",
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"started_at": "2026-05-23T16:38:22.734458+10:00",
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"ended_at": "2026-05-23T16:38:40.377056+10:00",
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"model": "gpt-5.4-nano-2026-03-17",
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"case_id": "ai-predictive-analytics",
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"perfect_answer": {
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"text": "The university should not deploy this AI prediction system. The way it ranks students by an algorithmic guess about their future, then hands that ranking to teachers, changes the relationship before any teaching happens. The label is in the room even if no one mentions it, and the prediction becomes self-fulfilling. There is also a fairness gap: the system uses platform activity, which depends on bandwidth, caregiving, and accommodations, so students who study offline look 'inactive' even when they are learning fine. The harm concentrates on those with the least margin. The university should invest in course design that supports varied learners directly, not in sorting students by an algorithm.",
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"char_count": 703,
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"changed_since_prev": false
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},
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{
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"n": 3,
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"timestamp": "2026-05-23T16:38:40.376850+10:00",
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"trigger": "end_session_confirm",
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"text": "The university should not deploy this AI prediction system. The way it ranks students by an algorithmic guess about their future, then hands that ranking to teachers, changes the relationship before any teaching happens. The label is in the room even if no one mentions it, and the prediction becomes self-fulfilling. There is also a fairness gap: the system uses platform activity, which depends on bandwidth, caregiving, and accommodations, so students who study offline look 'inactive' even when they are learning fine. The harm concentrates on those with the least margin. The university should invest in course design that supports varied learners directly, not in sorting students by an algorithm.",
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"char_count": 703,
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"changed_since_prev": false
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}
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],
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"essays": {
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},
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"upload_errors": [],
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"session_summary": {
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"n_argument_snapshots": 3,
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"n_feedback_events": 0,
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"initial_argument_char_count": 703,
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"final_argument_char_count": 703,
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"argument_changed_during_session": false,
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"essay_char_count": 3169,
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"plan_probes_count": 6,
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"outcome": "submitted-finalized"
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}
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}
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