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Record W4407083961 · doi:10.7202/1115803ar

De la subsistance à la consommation sélective : quand la pauvreté interroge la sobriété

2024· article· fr· W4407083961 on OpenAlexvenueno aff
Olivia Mercier

Bibliographic record

VenueLien social et Politiques · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPolitical science

Abstract

fetched live from OpenAlex

La sobriété, pierre angulaire de nombreux discours écologiques, se définit par une réduction active de sa consommation. Parce que les personnes en situation de pauvreté ont des marges de manoeuvre réduites, il leur est difficile de se conformer à l’impératif de sobriété, largement diffusé par les médias et les pouvoirs publics. Pourtant, loin d’être inactives et de subir des normes prescrites, les personnes en situation de pauvreté ont des capacités d’appropriation et d’arrangement souvent sous-estimées. En prenant pour objet d’étude le glanage alimentaire, activité de récupération des déchets alimentaires, cet article s’attache à montrer que certaines personnes à faibles revenus déploient au quotidien des initiatives économiques et domestiques leur permettant de reprendre en main leur consommation (alimentaire) et de se défaire d’une représentation négative de la pauvreté. À l’appui d’une enquête ethnographique, on montrera que le glanage constitue une des « mille manières de braconner » au quotidien (Certeau, 1990 : XXXVI), car il offre un approvisionnement alternatif en marge des prescriptions consuméristes ou de sobriété.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.017
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.359
Teacher spread0.316 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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