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Record W3198755938 · doi:10.3917/arss.239.0004

Public health as a field of sociological inquiry: Paths to research, scientific scholarship, and the institutional landscape

2021· article· fr· W3198755938 on OpenAlexaboutno aff
Maud Gelly, Audrey Mariette, Laure Pitti

Bibliographic record

VenueActes de la recherche en sciences sociales · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Tout en maniant des paradigmes différents d’analyse, les trois sociologues que nous avons interviewé·e·s dans le cadre de ce dossier témoignent des enjeux de l’autonomie d’une recherche sociologique qui se donne la santé – et notamment la santé publique – pour objet. Le premier entretien permet de revenir sur l’histoire d’un courant de sociologie critique à travers la trajectoire de Patrice Pinell. Formé à la médecine puis à la biochimie dans les années 1960 avant de se convertir à la sociologie et de diriger, pendant plus de dix ans, une unité de recherches psychanalytiques et sociologiques en santé publique au sein de l’Inserm, ce dernier fait de la santé et de la médecine des objets de sociologie générale et critique, en développant une analyse socio-historique du champ médical. Le second entretien interroge les enjeux des recherches sociologiques sur la santé dans des mondes professionnels et des institutions de santé publique, à partir de deux trajectoires professionnelles et scientifiques : celle de Cécile Fournier, chercheuse à l’Institut de recherche et documentation en économie de la santé (Irdes), et celle de Gabriel Girard, chargé de recherche à l’Institut national de la santé et de la recherche médicale (Inserm) après un parcours dans le domaine de la santé publique au Québec.

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)0.112
metaresearch head score (Gemma)0.117
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1120.117
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0050.039
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.792
GPT teacher head0.582
Teacher spread0.210 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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