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Record W3162696730 · doi:10.7202/1077008ar

L’exercice des couvertures comme outil pédagogique pour mieux conscientiser les futures intervenantes et les futurs intervenants en travail social aux réalités autochtones

2021· article· fr· W3162696730 on OpenAlexaffvenue
Marie Émilie Lacroix

Bibliographic record

VenueÉducation et francophonie · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article documente la façon dont l’exercice des couvertures a servi d’outil pédagogique pour sensibiliser les futures intervenantes et les futurs intervenants en travail social aux blessures historiques vécues par les Autochtones depuis l’arrivée des Européens en Amérique. L’exercice des couvertures est une expérience pédagogique permettant de revisiter l’histoire telle que vécue par les Premières Nations et transmise oralement à travers les époques. Le cercle de partage qui conclut l’expérience offre une ouverture sur la compréhension des injustices sociales liées aux enjeux politiques ainsi que l’adoption d’une attitude de collaboration. L’exercice des couvertures est analysé avec une approche expérientielle visant la sensibilisation/conscientisation, et ouvrant sur la réflexion et le pouvoir d’agir. Ce qui enrichit cette démarche, c’est la rencontre des Autochtones et des allochtones, parfois pour une première fois. L’éducation ressort comme le moyen de préparer cette rencontre et d’écrire ensemble un futur rafraîchi. Le changement qui crée l’espoir doit s’exprimer en actions posées au quotidien, ouvrant le sentier petit pas par petit pas à des alliances diverses.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.177
GPT teacher head0.457
Teacher spread0.280 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations2
Published2021
Admission routes2
Has abstractyes

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