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Record W2341073430 · doi:10.14288/1.0077499

Colonies, condoms and corsets : fertility regulation in Australia and Canada

2009· article· en· W2341073430 on OpenAlexaffabout
Louise Morag Falconer

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFertilityPolitical sciencePopulationDemographySociology

Abstract

fetched live from OpenAlex

This thesis investigates Australian and Canadian legislation that regulated women's reproduction in the late nineteenth and early twentieth century and offers some explanation for their enactment. At the turn of the twentieth century, Australia and Canada enacted a series of laws that were aimed at limiting the control women could exercise over their reproductive functions. From the 1880s through to the first decade of the twentieth century, legislation that prohibited the advertisement of contraception, regulated maternity homes as well as criminal laws that proscribed abortion were promulgated by Australian and Canadian parliaments. This thesis investigates why such legislative activity occurred and proposes that the initiation of these measures targeting abortion, infanticide and birth control cannot be disassociated from the highly gendered and racialised rhetoric resonating throughout the British Empire. Concern about racial integrity, heightened by a fear generated by the declining birth rate, promoted a climate in which exercising control over women's fertility was seen as warranted. White women's reproductive capabilities were a vital ingredient in keeping the settler colonies of Australia and Canada white and British — white women were expected, quite literally, to give birth to the nation. As this thesis shows, when women did not adhere to these expectations of maternity, the law was used in an attempt to monitor and regulate their reproductive activities.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.355

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 studies0.0000.000
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 head0.026
GPT teacher head0.192
Teacher spread0.166 · 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 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

Citations1
Published2009
Admission routes2
Has abstractyes

Explore more

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