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Record W4303614525 · doi:10.7202/1091953ar

Le crédit et l’endettement : un regard sociojuridique sur la pauvreté comme marché

2022· article· fr· W4303614525 on OpenAlexaffvenue
Alexandra Bahary-Dionne

Bibliographic record

VenueLes Cahiers de droit · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Selon les recherches de terrain, notamment québécoises, le néolibéralisme se traduit par la judiciarisation de la pauvreté par les droits pénal et social. Or, les implications de cette gestion néolibérale de la pauvreté restent à documenter en droit privé. Une telle entreprise apparaît particulièrement importante pour le droit de la consommation compte tenu de la transformation progressive des droits sociaux en dettes sociales, puis en dettes privées. Dans le présent article, l’autrice entame cette réflexion à partir d’une analyse de la tension entre l’exclusion et la « surinclusion » des personnes pauvres en ce qui concerne l’accès au crédit en soutenant que cette tension prend sa source dans des dynamiques conjointes de visibilité et d’invisibilité de la pauvreté, spécialement par l’entremise du droit. Or, celui-ci a besoin de mieux cartographier ces dynamiques afin d’encadrer les relations de crédit avec effectivité. Cette façon de procéder convoque en retour une appréhension plus holistique des relations de crédit, au-delà des dettes privées.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.412
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.019
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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 designQualitative
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

Citations0
Published2022
Admission routes2
Has abstractyes

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