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Record W3213947801

‘Butcher of Women’: ‘Abortion Tourism,’Canadian Abortion Access and the Cautionary Case Study of Kermit Gosnell

2015· article· en· W3213947801 on OpenAlexaffabout
Frances E. Chapman

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsLakehead University
Fundersnot available
KeywordsAbortionLawPolitical scienceButcherCriminologySociologyHistoryPregnancy
DOInot available

Abstract

fetched live from OpenAlex

To critically examine access to abortion, I examine the legal history of abortion, and the realities of securing an abortion today. I then compare those realities to a contemporary case of Dr. Kermit Gosnell from the United States to examine what happens when the system goes unchecked and legitimate access is denied. Dr. Gosnell preyed on vulnerable women in a scene that seems to be pulled out of the 1800s rather than contemporary Pennsylvania. He was convicted and sentenced to multiple life sentences after his horrific abortion-related crimes were discovered. This case study demonstrates that the historical barriers to access faced by women, particularly those who are underprivileged, continue to exist even where abortion is legalized when women still have uneven (at best) access to basic medical care.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 integrity0.0000.001
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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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
Published2015
Admission routes2
Has abstractyes

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