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Record W2771707143

La sécurité alimentaire selon la perspective d'Inuit du Nunavik

2014· article· fr· W2771707143 on OpenAlexaboutno aff
Léa Laflamme

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsEthnologyContext (archaeology)Political scienceHumanitiesFood securityHealthy eatingSociologyGeographyArtPhysical activityArchaeologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Cette étude exploratoire vise à mieux comprendre la sécurité alimentaire selon la perspective et le vécu d’Inuit du Nunavik (Québec). Des entrevues semi-structurées avec dix-neuf femmes inuites de différentes générations, occupations et statuts socio-économiques d’une communauté du Nunavik ont été réalisées. De plus, un atelier avec des aînés de la communauté sur les mots utilisés dans la langue inuite pour décrire la faim, la satiété et différentes sensations alimentaires a permis d’approfondir les concepts culturels entourant l’expérience alimentaire et la sécurité alimentaire. Les résultats suggèrent que la notion de ce qui constitue une nourriture suffisante et adéquate est construite à partir des expériences individuelles et de la culture et tend à varier selon les générations. Plusieurs participantes ont mentionné avoir manqué d’aliments dans leur maison dans un passé récent. Cependant, les ressources au niveau de la famille élargie et de la communauté tendaient à alléger la situation lorsqu’elle était transitoire.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.078
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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