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Record W4384081703 · doi:10.4000/rhc.1733

La sexualité au risque de la syphilis

2022· article· fr· W4384081703 on OpenAlexaff
Alice Aigrain

Bibliographic record

VenueRevue d histoire culturelle · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La lutte contre la syphilis, empreinte d’une forte connotation morale et nationaliste, se recompose durant la première moitié du XXe siècle autour d’une vaste campagne de prophylaxie individuelle. Celle-ci vise à sensibiliser la population générale aux dangers de la syphilis en réaffirmant les normes reproductives, conjugales et sexuelles de l’époque. Cet article interroge le rôle spécifique de la photographie dans cette entreprise. En servant tout à la fois de lieu d’exposition et d’agence de diffusion, le musée de l’hôpital Saint-Louis, qui est alors le siège de la jeune syphiligraphie, devient rapidement le centre névralgique de la propagande imagée contre la syphilis. Ses larges collections de photographies montrant les plus impressionnantes conséquences de la maladie sur les corps sont utilisées afin de véhiculer un sentiment d’effroi face à la syphilis qui participe à sa stigmatisation. Cette stratégie du choc visuel et du dégout semble singulier par rapport aux autres médias mobilisés dans les campagnes de prévention. Néanmoins, les discours que la photographie charrie se déploient différemment selon les personnes visées. Si la syphilis touche massivement toutes les franges de la société, l’examen du corpus au prisme des questions de genre, de race et de classe montre comment les photographies répondent autant à un objectif de prophylaxie que de réaffirmation de l’ordre social.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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 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
Published2022
Admission routes1
Has abstractyes

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