Assessing the Impact of “The Collapse” on the Organization and Content of Autobiographical Memory in the Former Soviet Union
Bibliographic record
Abstract
It can be argued that the Collapse of the Soviet Union was the most important historical event of the past 50 years. This study assessed the mnemonic impact of this event in Russia, Azerbaijan, and Uzbekistan. It involved three tasks. First, participants thought aloud as dated autobiographical events. Second, they drew a personal timeline. Finally, they answered questions concerning the psychological and material consequences of the Collapse. Across the samples, we found (1) the Collapse was almost never used as a temporal landmark, (2) it was rarely included in timeline drawings, and (c) participants did not experience the Collapse as a major life‐changing event. These findings argue against the Proportionality Assumption—the notion that the mnemonic impact of a public event is related to its historical importance. Instead, they suggest that historically significant events play an important role in autobiographical memory only when they dramatically affect people's material circumstances.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".