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Harm Reduction or Women's Rights? Debating Access to Emergency Contraceptive Pills in Canada and the United States

2007· article· en· W1982319546 on OpenAlexaboutno aff
L. L. Wynn, Joanna N. Erdman, Angel M. Foster, James Trussell

Bibliographic record

VenueStudies in Family Planning · 2007
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
FundersInternational Union for the Scientific Study of PopulationWilliam and Flora Hewlett FoundationU.S. Department of Justice
KeywordsEmergency contraceptionPillHarm reductionMedicineHarmFamily planningHuman sexualityFamily medicinePublic healthPopulationLawPolitical scienceEnvironmental healthNursing

Abstract

fetched live from OpenAlex

This article compares the ethical pivot points in debates over nonprescription access to emergency contraceptive pills in Canada and the United States. These include women's right to be informed about the contraceptive method and its mechanism of action, pharmacists' conscientious objection concerning the dispensing of emergency contraceptive pills, and rights and equality of access to the method, especially for poor women and minorities. In both countries, arguments in support of expanding access to the pills were shaped by two competing orientations toward health and sexuality. The first, "harm reduction," promotes emergency contraception as attenuating the public health risks entailed in sex. The second orientation regards access to pills as a question of women's right to engage in nonprocreative sex and to choose from among all reproductive health-care options. The authors contend that arguments for expanding access to emergency contraceptive pills that frame issues in terms of health and science are insufficient bases for drug regulation; ultimately, women's health is also a matter of women's rights.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.573

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0130.023
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.077
GPT teacher head0.388
Teacher spread0.310 · 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 designQualitative
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

Citations17
Published2007
Admission routes1
Has abstractyes

Explore more

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