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Record W2159058466 · doi:10.1002/ejsp.519

Reconceptualizing relative deprivation in the context of dramatic social change: the challenge confronting the people of Kyrgyzstan

2008· article· en· W2159058466 on OpenAlex
Roxane de la Sablonnière, Donald M. Taylor, Cristina Perozzo, Nazgul Sadykova

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Social Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsMcGill UniversityUniversité de Montréal
Fundersnot available
KeywordsRelative deprivationPsychologyContext (archaeology)Social psychologySocial environmentSocial deprivationSociologyPolitical scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.131
GPT teacher head0.364
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it