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Record W2111686244 · doi:10.1080/15265161.2012.673689

On the Cutting Edge: Ethical Responsiveness to Cesarean Rates

2012· article· en· W2111686244 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe American Journal of Bioethics · 2012
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsCape Breton University
Fundersnot available
KeywordsAutonomyAssisted reproductive technologyReproductive technologyResidencePublic relationsPsychologyPolitical scienceSociologyMedicineNursingLawPregnancy

Abstract

fetched live from OpenAlex

Cesarean delivery rates have been steadily increasing worldwide. In response, many countries have introduced target goals to reduce rates. But a focus on target goals fails to address practices embedded in standards of care that encourage, rather than discourage, cesarean sections. Obstetrical standards of care normalize use of technology, creating an imperative to use technology during labor and birth. A technological imperative is implicated in rising cesarean rates if physicians or patients fear refusing use of technology. Reproductive autonomy is at stake since a technological imperative undermines patients' ability to choose cesareans or refuse use of technology increasing the likelihood of cesareans. To address practices driven by a technological imperative I outline three physician obligations that are attached to respecting patient autonomy. These moral obligations show that a focus on respect for autonomy may prove not only an ideal ethical response but also an achievable practical response to lowering cesarean rates.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.746

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.109
GPT teacher head0.445
Teacher spread0.336 · 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