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Record W207935840 · doi:10.15173/nexus.v19i1.201

Disrupting Lunar Cycles: Selling Seasonal Menses

2006· article· en· W207935840 on OpenAlexvenueno aff
Christine Dol

Bibliographic record

VenueNEXUS The Canadian Student Journal of Anthropology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicFeminist Epistemology and Gender Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionRhetoricIdeologyMedicalizationNatural (archaeology)SociologyBiosocial theoryPoliticsDisgustPsychologyGender studiesEpistemologyHistoryMedicineSocial psychologyPolitical scienceLawPathology

Abstract

fetched live from OpenAlex

Women's embodied experience of menarche, menses, and menopause can reveal underlying misogynist biosocial assumptions embedded within medical and political policies and practices designed specifically for women based solely on our uniquely physiological embodied experiences. A new menstrual suppressing drug - Seasonale is the latest pharmaceutical insult/assault against women by the pharmaceutical industry capitalizing on the traditional Victorian misconceptions regarding the female body as being the diseased body in need of cultural control. This essay takes up Arthur Kleinman 's concept of 'explanatory models' to analyze the hidden issue of the gendered nature of biomedical discourse and the issue of medical knowledge production. The focus of this paper is on how biomedical discourses in the form of 'scientific' pharmaceutical rhetoric is actually constructing 'explanatory models' for women to practice and conform to a specific notion of the ideological woman in American society - the seasonal bleeder. I argue that well into the 21st century, the female body embodied in natural reproductive functions is produced discursively as an idiom of pathology ill the 'explanatory models' produced by Western biomedical discourse.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.356
Teacher spread0.331 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

Explore more

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