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Record W2408180668 · doi:10.7202/1034662ar

La prévention et la politique américaine

2016· article· fr· W2408180668 on OpenAlexvenueno aff
Rosemary C. R. Taylor

Bibliographic record

VenueInternational Review of Community Development · 2016
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La prévention est le lieu d’une confrontation politique majeure aux États-Unis. De plus en plus, les stratégies de prévention s’inspirent d’une idéologie qui reporte sur les individus la responsabilité de leur santé et de leur bien-être personnel. L’article analyse comment, depuis la fin des années soixante-dix, s’est imposée cette conception individualisante de la prévention et comment elle parvient à influencer les décisions de l’État, tant en ce qui concerne le financement que l’orientation de sa politique de santé. L’article décrit les interventions récentes de l’administration Reagan visant à limiter la portée de diverses réglementations et agences gouvernementales vouées à la prévention, qu’il s’agisse de conditions de travail, d’environnement ou d’hygiène publique. Deux théories étiologiques s’affrontent : l’une qui reçoit le soutien du gouvernement, des industries, du pouvoir médical met l’accent sur les habitudes quotidiennes pathogènes; l’autre met en relief l’importance des facteurs sociaux; certains secteurs du mouvement ouvrier, les écologistes, certaines agences gouvernementales tentent de la défendre. Mais le rapport des forces est inégal. Cependant, peut-on imaginer que, dans un contexte de détérioration croissante du niveau de vie, on puisse continuer de croire que la santé, comme toute autre chose, n’est qu’une question de volonté individuelle ?

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.371
Teacher spread0.312 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

Explore more

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