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Record W3201982343 · doi:10.7202/1077728ar

Food Is Power : agriculture, jardins et réconciliation avec les Cris de Chisasibi

2021· article· fr· W3201982343 on OpenAlexaffvenue
Émilie Parent

Bibliographic record

VenueLes Cahiers du CIÉRA · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité de MontréalCentre of Social Innovation in AgricultureCegep de Victoriaville
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Le colonialisme a changé drastiquement l’alimentation des communautés autochtones. Les bouleversements socioéconomiques ont mené à un abandon partiel des pratiques traditionnelles et donc à une augmentation de la consommation d’aliments de marché. Malgré leur disponibilité, ces produits doivent cependant être importés du sud de la province ou de plus loin encore. Leur coût demeure donc prohibitif et leur qualité laisse souvent à désirer. Arrivés à destination, ils sont souvent trop chers et peu attrayants. L’accès à une alimentation saine constitue donc un véritable défi dans les communautés nordiques. Puisque la colonisation est responsable de ces chambardements dans les systèmes alimentaires autochtones, la réconciliation passe nécessairement par une réévaluation des relations de pouvoir entourant la production et la consommation de la nourriture.

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)0.001
metaresearch head score (Gemma)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.299
Teacher spread0.277 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

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