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Record W2011977782 · doi:10.3917/mult.048.0032

Prenons soin des putes

2012· article· fr· W2011977782 on OpenAlexaff
Sandra Laugier, Pascale Molinier, Frédéric Bisson, Anne Querrien

Bibliographic record

VenueMultitudes · 2012
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

On ne peut qu'être consterné par l'actuelle polémique sur la prostitution, qui oppose celles/ceux qui la voient comme « un travail comme les autres » (position libérale) à celles/ceux qui la voient comme « une violence à abolir » (position abolitionniste).Cette alternative réductrice ressortit à un moralisme que le féminisme a pourtant toujours voulu contester.Ce faux débat est en effet trois fois sourd.Généalogie de la morale abolitionniste D'abord, on refuse d'y entendre les voix des prostitué-e-s.Ils/elles ne sont jamais sujets, mais objets des discours-maîtres (ceux de l'Église, de l'État, du Féminisme abolitionniste) qui ont l'indignité de parler en leur nom, reproduisant ainsi l'objectivation qu'ils dénoncent.En assimilant la prostitution à l'esclavage, en considérant les prostitué-e-s comme des victimes et souvent comme des personnes souffrant de troubles psychiques graves, non seulement on se fait l'allié de la répression, mais on confirme et renforce une division du travail moral qui dévalorise systématiquement un type de travail.Dans le monde entier, des militants de mouvements de prostitué-e-s, femmes, hommes, trans, se sont rendus visibles, parfois au péril de leur vie, et se sont publiquement élevés contre la conception victimisante et pathologisante des prostitué-e-s, contre la stigmatisation et les persécutions que cette

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0090.009
Scholarly communication0.0130.011
Open science0.0010.005
Research integrity0.0040.012
Insufficient payload (model declined to judge)0.0720.016

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 head0.051
GPT teacher head0.277
Teacher spread0.226 · 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 designQualitative
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

Citations5
Published2012
Admission routes1
Has abstractno

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