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Record W2788576199 · doi:10.7202/1043304ar

Agir avec les jeunes femmes de la rue pour une praxis de l’intersectionnalité — Réflexion autour du projet PARVIS1 2

2018· article· fr· W2788576199 on OpenAlexaffvenueabout
Catherine Flynn, Simon Lapierre, Pénélope Couturier, Marc Olivier Brousseau

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Cette recherche-action participative s’inscrit dans le cadre du projet d’actions et de recherches contre les violences structurelles (PARVIS), mené avec sept jeunes femmes de la rue de la ville de Québec. L’intérêt du groupe concernant les situations de fugues dans les centres jeunesse l’a conduit à expérimenter une action sociale visant à sensibiliser les décideures et décideurs aux conséquences du contrôle dans ces institutions et du manque de soutien dans la transition vers l’âge adulte. Cet article s’attarde surtout à la façon dont PARVIS a mobilisé l’intersectionnalité des points de vue méthodologique et politique, en tentant d’imbriquer les savoirs universitaires et les savoirs expérientiels des participantes.

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)0.020
metaresearch head score (Gemma)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.540

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0240.014
Scholarly communication0.0080.004
Open science0.0020.008
Research integrity0.0030.006
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 head0.048
GPT teacher head0.382
Teacher spread0.334 · 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

Citations5
Published2018
Admission routes3
Has abstractyes

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