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Record W4387012940 · doi:10.1186/s12978-023-01686-w

“It’s important to foster open discussion about the topic”: development, implementation, and evaluation of an ethics of abortion independent learning module for second year medical students

2023· article· en· W4387012940 on OpenAlexaboutno aff
Catherine A. McCarty, Sarah L. Hutto, Aubie Shaw

Bibliographic record

VenueReproductive Health · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsAbortionReproductive healthMedical educationGratitudeReproductive medicineMedical ethicsMedicineConscientious objectorPsychologyFamily medicinePopulationSocial psychologyPregnancyLawPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: Despite the frequency of abortions, one-third of medical schools in the US and Canada did not include coverage of that topic, according to a survey conducted in 2002-2005. The purpose of this project was to develop, implement, and evaluate a module for second year medical students related to the ethics of abortion. METHODS: The module was designed as Independent Learning Time (ILT). The stated purpose was for students to consider some of the recent debate in the ethics literature related to conscientious objection and abortion and how personal views may influence future practice. The ILT included readings and Power Points to view. Students were asked to write a one-page reflection on one of three writing prompts. RESULTS: The most commonly selected writing prompt in three classes was on personal values in relation to abortion (56.5%), followed by information about nearest provider of reproductive services to rural preceptor site (34.7%), followed by conscientious objection (23.3%). We received many positive comments about the ILT, including: "First, I would like to acknowledge my gratitude for this assignment and its subject. I believe it is very important that future physicians learn the entirety of women's reproductive health care, including abortion and contraception, but unfortunately this is not always the case in medical training". CONCLUSIONS: There has been an extremely positive response to the ILT. With the exception of the prompt specific to our regional campus mission that includes rural preceptorships during the preclinical years, this module could be implementable at other medical schools.

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)0.019
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
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 head0.136
GPT teacher head0.517
Teacher spread0.381 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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