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Record W4392187180 · doi:10.3917/spub.hs2.2023.0079

Penser paritairement les enjeux intimes et épistémologiques des recherches participatives. L’exemple d’un compagnonnage pair-chercheur sur les politiques des drogues

2024· article· fr· W4392187180 on OpenAlexaff
Marie Jauffret‐Roustide, Jean-Maxence Granier, Karine Bertrand

Bibliographic record

VenueSanté Publique · 2024
Typearticle
Languagefr
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Les recherches participatives en santé sont en plein développement. Certaines thématiques rendent l’association de personnes ayant un savoir expérientiel à la recherche à la fois plus complexe et nécessaire. C’est le cas des personnes qui consomment des drogues, dont les savoirs sont invisibilisés en raison de l’illégalité de l’usage des drogues et des multiples formes de domination et de stigmatisation qui en résultent. Cet article se propose de relater sous la forme d’une restitution une expérience particulière de compagnonnage sur le long terme entre une personne ayant un savoir d’expérience et une chercheure académique. À partir d’une collaboration singulière, cet article met en lumière les apports de la recherche participative, leurs effets sociaux et politiques, et leurs limites. Il montre comment chacune des parties prenantes se nourrit du savoir de l’autre afin de co-produire une recherche qui permette de faire évoluer l’action publique et de limiter les injustices épistémiques. Il met également en lumière les identités multiples présentes dans ce type de collaboration qui favorisent les conditions de la co-production des savoirs, et propose des pistes pour permettre cette collaboration avec une diversité de publics.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.299
GPT teacher head0.444
Teacher spread0.145 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations6
Published2024
Admission routes1
Has abstractyes

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