Looking on the Bright Side: Downward Counterfactual Thinking in Response to Negative Life Events
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Past research has found that downward counterfactual thoughts are rarely generated in response to negative life events. However, the authors suggest that under conditions in which self-enhancement motives are prominent, downward counterfactuals will be more frequent than upward counterfactuals. When motives were explicitly manipulated (Study 1), people generated more downward counterfactuals in the self-enhancement than in the self-improvement and control conditions. In Study 2, among those chronically more motivated to self-enhance (i.e., European Canadians), a manipulation of event severity led to the generation of more downward than upward counterfactuals. This finding was mediated by the desire for self-enhancement. In Study 3, cultural background and the opportunity for self-affirmation were related to the generation of downward counterfactuals in expected ways. Implications of these findings are discussed.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it