The malleability of collective memories: One year after the Tulip Revolution in Kyrgyzstan
Bibliographic record
Abstract
How people view their social groups' history has important implications at both the collective and the individual levels. It has been established that collective memories, the representations of one's groups' history, differ between generations and individuals. Yet, it remains unclear how collective memories change in reaction to dramatic social change. Using temporal collective relative deprivation (TCRD), which reflects how individuals perceive their group's situation in history, we hypothesize that TCRD trajectories change over time and that highly identified individuals will be less likely to change their trajectory. Kyrgyz nationals (N = 166) responded immediately after the Tulip Revolution and one year later to TCRD measurements. Dual group-based trajectory analysis indicates that a third of the sample modified their memories about their group's situation one year after a dramatic social change and that low identification with the group predicted this change. These results support the idea that collective memory is revised at the individual level after dramatic social change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".