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Record W1530494174 · doi:10.3138/cbmh.31.1.165

Sterilization and Birth Control in the Shadow of Eugenics: Married, Middle-Class Women in Alberta, 1930–1960s

2014· article· en· W1530494174 on OpenAlexaffvenueabout
Erika Dyck

Bibliographic record

VenueCanadian Journal of Health History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEugenicsSterilization (economics)Birth controlFamily planningMiddle classGender studiesSociologyMedicineLawPopulationPolitical scienceDemographyPhilosophyCurrency

Abstract

fetched live from OpenAlex

The history of eugenic sterilization connotes draconian images of coerced and involuntary procedures robbing men and women of their reproductive health. While eugenics programs often fit this characterization, there is another, smaller, and less obvious legacy of eugenics that arguably contributed to a more empowering image of reproductive health. Sexual sterilization surgeries as a form of contraception began to gather momentum alongside eugenics programs in the middle of the 20th century and experiences among prairie women serve as an illustrative example. Alberta maintained its eugenics program from 1929 to 1972 and engaged in thousands of eugenic sterilizations, but by the 1940s middle-class married women pressured their Albertan physicians to provide them with sterilization surgeries to control fertility, as a matter of choice. The multiple meanings and motivations behind this surgery introduced a moral quandary for physicians, which encourages medical historians to revisit the history of eugenics and its relationship to the contemporaneous birth control movement.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0210.012
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.215
Teacher spread0.198 · 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 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

Citations3
Published2014
Admission routes3
Has abstractyes

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