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Record W1971974067 · doi:10.7202/706484ar

Pour ajouter de la misère à la vie : L’impact d’une épidémiologie social-étatique sur l’action communautaire et les problèmes sociaux

2005· article· fr· W1971974067 on OpenAlexaffvenue
Michel Parazelli

Bibliographic record

VenueService social · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMontreal Police Service
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dans ce texte, l'auteur présente une réflexion critique sur la stratégie d'encadrement étatique des pratiques communautaires, dans une approche techno-médicale des problèmes sociaux et de ses conséquences sur l'analyse même des problèmes sociaux. Cette réflexion s'inscrit dans l'analyse de la réforme actuelle des services de santé et des services sociaux. Après avoir présenté les différents aspects de cette réforme, l'auteur fait ressortir l'opposition entre l'approche des problèmes sociaux soutenue par l'État et celle défendue par les organismes communautaires autonomes. Par ailleurs, l'auteur critique le projet de réforme en soulignant notamment ses effets néfastes pour la population en général et en particulier pour les jeunes. Il dénonce également l'utilisation en sous-traitance des groupes communautaires 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)0.026
metaresearch head score (Gemma)0.037
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 score0.028
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.037
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0060.022
Scholarly communication0.0140.012
Open science0.0020.007
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.095
GPT teacher head0.412
Teacher spread0.317 · 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

Citations1
Published2005
Admission routes2
Has abstractyes

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