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v4-HOT/explanatory/pilot/20260524_111423.json CHANGED
@@ -4,7 +4,7 @@
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  "condition": "explanatory",
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  "run_mode": "pilot",
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  "started_at": "2026-05-24T11:14:23.811480+10:00",
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- "ended_at": "2026-05-24T11:14:59.674986+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": {
@@ -110,6 +110,18 @@
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  "next_turn_n": 2,
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  "user_msg_excerpt": "When you mentioned \"algorithmic bias,\" what do you mean by that in this context? How could that affect the predictions a"
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  }
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "essays": {
 
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  "condition": "explanatory",
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  "run_mode": "pilot",
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  "started_at": "2026-05-24T11:14:23.811480+10:00",
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+ "ended_at": "2026-05-24T11:15:02.432679+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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  "next_turn_n": 2,
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  "user_msg_excerpt": "When you mentioned \"algorithmic bias,\" what do you mean by that in this context? How could that affect the predictions a"
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  }
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+ },
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+ {
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+ "n": 3,
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+ "timestamp": "2026-05-24T11:15:02.432643+10:00",
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+ "trigger": "chat_send",
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+ "text": "I think the university probably shouldn't deploy this AI system, but honestly I'm not totally sure why. Something about it feels wrong. Maybe it's the idea of labeling students? Or that the data they're using doesn't really capture what learning is? I've heard people talk about algorithmic bias but I don't fully understand how that would apply here. The school says it's for support, which sounds fine, but I have a feeling there's more going on. I'd want to understand the tradeoffs better before I really decide. I just have a gut sense this isn't a good idea.",
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+ "char_count": 564,
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+ "changed_since_prev": false,
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+ "context": {
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+ "next_turn_n": 3,
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+ "user_msg_excerpt": "When you mention that certain students might be labeled as “likely to struggle” based on their online behavior, could yo"
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+ }
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  }
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  ],
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  "essays": {