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Record W2614074536 · doi:10.1177/1368430216683532

A social psychological examination of the empowering role of language in Indigenous resistance

2017· article· en· W2614074536 on OpenAlex

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

VenueGroup Processes & Intergroup Relations · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsSimon Fraser UniversitySheridan College
Fundersnot available
KeywordsIndigenousCollective actionInjusticeSocial psychologySociocultural evolutionSociologyResistance (ecology)PsychologyPolitical scienceAnthropologyPoliticsLaw

Abstract

fetched live from OpenAlex

An understanding of how groups engage in sustained collective action over long periods of time (sometimes over multiple generations) must take into account sociocultural factors. We consider the role of Indigenous languages in motivating and sustaining collective action among Indigenous peoples, drawing on basic social psychological theory as well as insights from Indigenous writers. We contend that the knowledge and use of one’s Indigenous language can facilitate the psychological conditions shown to underpin interest in participating in collective action (i.e., collective identification, perceptions of injustice, collective control, and group boundary permeability). Our perspective highlights the fact that there may be unique predictors of collective action among Indigenous peoples. We discuss the importance of these ideas in light of the reality of language loss in many Indigenous groups, and call for social psychologists to increase their attention to issues of language and social justice, especially among Indigenous peoples.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.362
Teacher spread0.340 · 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