MétaCan
Menu
Back to cohort
Record W2801840526 · doi:10.3138/cbmh.200-022017

Female Gynecologists and Their Birth Control Clinics: Eugenics in Practice in 1920s–1930s China

2018· article· en· W2801840526 on OpenAlexaffvenue
Mirela David

Bibliographic record

VenueCanadian Journal of Health History · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEugenicsBirth controlChinaGirlGender studiesFamily planningMedicineGeorge (robot)Family medicineSociologyPolitical sciencePopulationPsychologyLawHistoryEnvironmental health

Abstract

fetched live from OpenAlex

Yang Chao Buwei, the first Chinese translator of Margaret Sanger's What Every Girl Should Know, was the first female gynecologist to open up a birth control clinic in China. By the 1930s, other female gynecologists, like Guo Taihua, had internalized and combined national and eugenic concerns of race regeneration to focus on the control of women's reproduction. This symbiosis between racial regeneration and birth control is best seen in Yang Chongrui's integration of birth control into her national hygiene program. This article traces the efforts of pioneer gynecologists in giving contraceptive advice at their birth control clinics, which they framed as a humanitarian effort to ease the reproductive burden of working-class women. It also examines their connections with Sanger's international birth control movement, and their advocacy of contraception as practitioners, translators, and educators. The author argues that these Chinese female gynecologists not only borrowed, but adapted, Western scientific knowledge to Chinese social conditions through their writings and translations and in their clinical work.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 integrity0.0000.001
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 head0.057
GPT teacher head0.281
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Health HistorySame topicHistorical Studies on Reproduction, Gender, Health, and Societal ChangesFrench-language works237,207