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Record W2105126605 · doi:10.1111/bjso.12003

Social change in <scp>S</scp> outh <scp>A</scp> frica: A historical approach to relative deprivation

2012· article· en· W2105126605 on OpenAlexafffund
Roxane de la Sablonnière, Émilie Auger, Donald M. Taylor, Jonathan Crush, David A. McDonald

Bibliographic record

VenueBritish Journal of Social Psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsBalsillie School of International AffairsQueen's UniversityMcGill UniversityUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRelative deprivationSocial identity theorySocial psychologyPsychologyGroup (periodic table)Identity (music)Social comparison theoryIngroups and outgroupsSocial groupTrajectoryIdentification (biology)

Abstract

fetched live from OpenAlex

Dramatic social change involves profound transformations that impact an entire group moving forward. Such is the reality for race relations in South Africa. Research has found that most people report a trajectory of group-based relative deprivation that appears to parallel actual historical events. However, a significant subset of respondents reported a trajectory in which the perceived status of their group remained stable despite dramatic social change. The first goal of our research was to assess whether both the historically 'assumed' and 'stable' group trajectories arise consistently among South Africans (N = 2,989). The second and more important goal was to identify the factors that might account for this dichotomy in perceived trajectory building on both traditional and recent advances in relative deprivation theory as well as on social identity theory. We hypothesized that higher levels of in-group identification would be associated with the historically assumed group trajectory. Results supported this hypothesis. The third goal was to link the different group trajectories with important psychological outcomes such as personal well-being, group self-esteem, and interracial attitudes.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.094
GPT teacher head0.369
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2012
Admission routes2
Has abstractyes

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