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Record W2610770341 · doi:10.7202/1034406ar

Les banques d’aliments et l’effondrement des garanties minimales de l’assistance sociale au Canada

2016· article· fr· W2610770341 on OpenAlexaffvenueabout
Graham Riches, Lorne Huston

Bibliographic record

VenueInternational Review of Community Development · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

L’approvisionnement des pauvres en nourriture au Canada est devenu une préoccupation majeure des organisations bénévoles, comme l’atteste la rapide croissance du nombre de banques d’aliments. Celles-ci visent à collecter, entreposer et distribuer à des organisations charitables capables de les utiliser à bon escient, des surplus d’aliments qui autrement seraient gaspillés. Les banques d’aliments se perçoivent généralement comme complémentaires aux programmes d’assistance gouvernementale et ne veulent d’aucune façon se substituer à eux. Le développement des banques d’aliments doit être perçu à la fois comme un symptôme et comme un symbole de la crise de confiance qui ébranle l’État-providence : signe de l’effondrement des garanties minimales de l’assistance sociale, les banques sont aussi l’expression tangible (quoique involontaire) du point de vue conservateur selon lequel les coûts sociaux des changements démographiques et technologiques doivent être pris en charge par les organisations bénévoles et non par l’État.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.100
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0020.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.088
GPT teacher head0.379
Teacher spread0.291 · 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
Published2016
Admission routes3
Has abstractyes

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Same venueInternational Review of Community DevelopmentSame topicSocial Sciences and GovernanceFrench-language works237,207