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Record W2161478048 · doi:10.1177/0957155812443180

Dogs and females: Vivisection, feminists and the novelist Rachilde

2012· article· en· W2161478048 on OpenAlex
Michael R. Finn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrench Cultural Studies · 2012
Typearticle
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsOpposition (politics)FeminismSociologyPsychoanalysisGender studiesConvergence (economics)LawPsychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This article explores the somewhat unexpected convergence of the French anti-vivisectionist and feminist movements in the late nineteenth century, asking why, in particular, prominent feminists such as Maria Deraismes, Marie Huot, and even that detractor of feminism Rachilde, banded together to oppose the practice. Claude Bernard’s ‘méthode expérimentale’ had made of vivisection the only reputable approach to medical advancement and its defenders noted, maddeningly, that opposition to the practice excluded the female because she was not intellectually equipped by nature to question it. But women realised that, transferred to the domain of experimentation with humans, as was the case with Charcot’s physically invasive experiments upon female hysterics, Bernard’s method could become a dangerous and cruel weapon.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.078
GPT teacher head0.315
Teacher spread0.237 · 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