Reconceptualizing relative deprivation in the context of dramatic social change: the challenge confronting the people of Kyrgyzstan
Bibliographic record
Abstract
Abstract The present study investigated the relationship between Temporal Collective Relative Deprivation and collective well‐being in the context of dramatic social change in Kyrgyzstan. Traditional research has evaluated Temporal Collective Relative Deprivation by comparing a group's present situation to a point in the recent past or future. We argue that a reconceptualization of Temporal Collective Relative Deprivation is needed. We hypothesized, first, that examining several, as opposed to a single, points of comparison will better predict collective well‐being. Secondly, we hypothesized that the points of comparison that will best predict collective well‐being will not necessarily correspond to the most recent past or future. Third, we hypothesized that the overall trajectory of Temporal Collective Relative Deprivation perceived across time will influence the level of collective well‐being. A sample of 565 Kyrgyz participants completed a questionnaire. Hierarchical regressions and group‐based trajectory modeling confirmed our three hypotheses. Theoretical and methodological implications of the findings are discussed. Copyright © 2008 John Wiley & Sons, Ltd.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".