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Record W4378438382 · doi:10.1515/9780773570788

Women, Health, and Nation

2003· book· en· W4378438382 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2003
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Authors provide a much-needed analysis of the dynamic decades after 1945, when both Canada and the United States began using federal funds to expand health-care access, and biomedical research and authority reached new heights. Focusing on a wide range of issues - including childbirth, abortion and sterilization, palliative care, pharmaceutical regulation, immigration, and Native health care - these essays illuminate the ironic promise of biomedicine, postwar transformations in reproduction, the varied work and belief-systems of female health-care providers, and national differences in women's health activism. Contributors include Aline Charles (Laval University), Barbara Clow (independent scholar), Laura E. Ettinger (Clarkson University), Georgina Feldberg (York University), Karen Flynn (York University), Vanessa Northington Gamble (Association of American Medical Colleges), Elena R. Gutiérrez (University of Illinois, Chicago), Molly Ladd-Taylor (York University), Alison Li (independent scholar), Maureen McCall (physician, Nepal), Michelle L. McClellan (University of Georgia), Kathryn McPherson (York University), Dawn Dorothy Nickel (University of Alberta), Heather Munro Prescott (Central Connecticut State University), Leslie J. Reagan (University of Illinois, Urbana-Champaign), Susan M. Reverby (Wellesley College), Susan L. Smith (University of Alberta), Ann Starr (visual artist and writer), and Judith Bender Zelmanovits (York University).

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.822
Threshold uncertainty score1.000

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 studies0.0020.000
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 head0.034
GPT teacher head0.246
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2003
Admission routes1
Has abstractyes

Explore more

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