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Record W1988653616 · doi:10.2105/ajph.2014.302358

No Exceptions: Documenting the Abortion Experiences of US Peace Corps Volunteers

2014· article· en· W1988653616 on OpenAlexaff
Angel M. Foster, Grady Arnott, Simone Parniak, Kathryn J. LaRoche, James Trussell

Bibliographic record

VenueAmerican Journal of Public Health · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Ottawa
FundersNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAustralian GovernmentPrinceton University
KeywordsAbortionMedicaidWitnessMedicineFamily medicineHealth carePolitical scienceLawPregnancy

Abstract

fetched live from OpenAlex

Since 1979, US federal appropriations bills have prohibited the use of federal funds from covering abortion care for Peace Corps volunteers. There are no exceptions; unlike other groups that receive health care through US federal funding streams, including Medicaid recipients, federal employees, and women in federal prisons, abortion care is not covered for volunteers even in cases of life endangerment, rape, or incest. We interviewed 433 returned Peace Corps volunteers to document opinions of, perceptions about, and experiences with obtaining abortion care. Our results regarding the abortion experiences of Peace Corps volunteers, especially those who were raped, bear witness to a profound inequity and show that the time has come to lift the "no exceptions" funding ban on abortion coverage.

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)0.004
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.025
GPT teacher head0.333
Teacher spread0.308 · 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 designOther design
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 routes1
Has abstractyes

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