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Record W2005066070 · doi:10.3917/cips.067.0137

Les nouveaux immigrants ressentent-ils une culpabilité collective pour les injustices historiques de leur société d'adoption ?

2005· article· fr· W2005066070 on OpenAlex
Julie Caouette, Donald M. Taylor

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLes cahiers internationaux de psychologie sociale · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPolitical scienceImmigrationSociologyEthnologyArt

Abstract

fetched live from OpenAlex

Résumé Plusieurs sociétés occidentales sont appelées à s’amender de leur passé colonial. Concurremment, on note un intérêt grandissant à explorer la culpabilité collective qui peut être ressentie lorsqu’un individu admet que son groupe ait traité un autre groupe injustement. Compte tenu de la diversité culturelle croissante des sociétés occidentales, il apparaît important d’étudier comment les nouveaux immigrants font face au passé négatif de leur pays d’adoption. Dans deux études, nous avons exploré comment des Canadiens de différentes générations d’immigrants ressentent de la culpabilité collective quant au passé colonial canadien. Nos résultats suggèrent que les nouveaux immigrants ressentent autant de culpabilité collective que les Canadiens de souche, et parfois même plus.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.332
Teacher spread0.298 · 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