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Record W4387679726 · doi:10.4000/communiquer.11004

Précarité alimentaire et pratiques informationnelles des étudiant·e·s

2023· article· fr· W4387679726 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCommuniquer Revue de communication sociale et publique · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

L’article s’attache aux pratiques informationnelles d’étudiant·e·s en lien avec l’alimentation et la santé. Une enquête, conduite en 2021 à l’Université Grenoble Alpes durant la pandémie, a eu pour objectif d’évaluer la précarité alimentaire des étudiant·e·s à partir d’un questionnaire proposant une échelle de l’insécurité alimentaire basée sur les expériences (Food Insecurity Experience Scale) validée par la FAO. Quatre catégories ont été dégagées : les étudiant·e·s en sécurité alimentaire, en précarité légère, modérée et sévère. À partir d’un échantillon représentatif de ces catégories, 46 entretiens semi-directifs ont été menés en vue de connaître les sources consultées, les objectifs des recherches d’information, le lien avec les pratiques alimentaires et culinaires et la place de la santé. Les résultats sont discutés au prisme du concept de pauvreté informationnelle et donnent lieu à des préconisations.

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)0.020
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0020.002
Scholarly communication0.0010.004
Open science0.0030.002
Research integrity0.0010.002
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 head0.066
GPT teacher head0.396
Teacher spread0.330 · 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