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Record W3082039226 · doi:10.18192/aporia.v12i1.4838

Hostilités sur le corps soigné : des Lumières à aujourd’hui

2020· article· fr· W3082039226 on OpenAlexvenueno aff
David Poulin-Grégoire, Patrick Martin

Bibliographic record

VenueAporia · 2020
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArt

Abstract

fetched live from OpenAlex

La médecine du XVIIe siècle est devenue l’héritière de dispositifs de contrôle religieux sur le corps sain, le corps malade et le corps mort. Dans une quête de connaissances qui a constamment repoussé les limites de l’investigation sur le corps humain, l’histoire de la médecine a été marquée par une succession d’agressions sur le corps et par la résistance de la population à ces agressions. Par le biais d’écrits d’historiens, de philosophes et de sociologues, cet article met en perspective certains fragments de l’histoire qui ont marqué l’évolution du regard biomédical sur le corps – du siècle des Lumières jusqu’à aujourd’hui – pour ensuite porter son attention au corps soigné au sein de notre société contemporaine. Loin des dérives religieuses et scientistes d’autrefois, ce corps apparaît encore une fois assujetti à une autorité médicale, qui se voit elle-même de plus en plus influencée par l’idéologie néolibérale. Dans cette conjoncture, les infirmières occupent une place importante dans la dénonciation des hostilités contemporaines sur le corps soigné et peuvent agir à titre d’activistes dans une téléologie transformationnelle visant à réaffirmer la conscience derrière le corps soigné et à lutter contre ces hostilités.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.003

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 head0.115
GPT teacher head0.381
Teacher spread0.266 · 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 designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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