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Record W2035669362 · doi:10.1111/birt.12006

Cesarean Section on Maternal Request: A Societal and Professional Failure and Symptom of a Much Larger Problem

2012· article· en· W2035669362 on OpenAlex
Michael Klein

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

VenueBirth · 2012
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsChildbirthMisinformationUrinary incontinenceMedicineSection (typography)Caesarean sectionNursingPsychologyObstetricsPregnancyPolitical scienceSurgeryBusinessLaw

Abstract

fetched live from OpenAlex

The scientific literature was silent about a relationship of pelvic floor, urinary, and fecal incontinence and sexual issues with mode of birth until 1993, when Sultan et al's impressive rectal ultrasound studies were published. They showed that perirectal fibers were damaged in many vaginal births, but not as a result of a cesarean section. These findings helped to pioneer a new area of research, ultimately leading to increasing support among health professionals and the public that maternal choice of cesarean delivery could be justified-even that maternal choice and autonomous decision-making trump other considerations, including evidence. A growing number of birth practitioners are choosing cesarean section for themselves-usually on the basis of concerns over pelvic floor, urinary incontinence, and sexual issues. Behind this choice is a training experience that focuses on the abnormal, interprets the literature through a pathological lens, and lacks sufficient opportunity to see normal childbirth. Cesarean section on maternal request is a complex issue based on fear and misinformation that is a symptom of a system needing reform, that is, a major change in community and professional education, governmental policy making, and creation of environments emphasizing the normal. Systemic change will require the training of obstetricians mainly as consultants and the education of a much larger cadre of midwives and family physicians who will provide care for most pregnant women in settings designed to facilitate the normal. Tinkering with the system will not work-it requires a complete refit.

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)0.000
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 score0.004
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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