Effects of viewing 9/11 footage on distress and<scp>I</scp>slamophobia: a temporally expanded approach
Bibliographic record
Abstract
Abstract We investigated whether viewing September 11 footage affected peoples’ perceived distress spanning past, present, and anticipated future. Participants ( n = 174) were randomly assigned to a 9/11, fear, or neutral condition and completed measures of temporal perceived distress, distress of future terrorism, Islamophobia, and restriction of civil liberties attitudes. Participants in the neutral and fear conditions perceived their 9/11‐related distress as declining over time. Those in the 9/11 condition perceived their distress as higher at present and declining from present (vs. past ratings). Those viewing 9/11 (vs. neutral or fear) footage reported greater future terrorism distress, more prejudice, and greater restriction of civil liberties. These differences were explained by higher 9/11‐related distress ratings for past 5 years, present, and future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".