Projecting the Current Salient Relational Situations Into the Past and Future Across Cultures
Bibliographic record
Abstract
The present research examined cultural differences in interpersonal memories and forecasts, situated in a currently salient positive or negative interpersonal context. We found that a negative focal event, compared to a positive one, led to more negative memories and forecasts of interpersonal encounters. The effect was stronger among Euro-Canadians than among Chinese. This was true regardless of whether the salient focal event was imagined or a real-life experience. Furthermore, focal thinking-the extent to which individuals think about the salient focal event-mediated cultural differences in interpersonal memories and forecasts as moderated by the focal event valence. Relational memories and forecasts positively predicted perceived relationship quality, willingness to help, and forgiveness. The findings highlight both cultural similarities and differences in interpersonal memories and forecasts, which contribute significantly to the literature on culture and relationships.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".