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Record W7097271232

Canadian Journal of Sociology Online March-April 2007 Victory! At What Cost? The Implications of Professionalizing Midwifery in Ontario

2014· article· en· W7097271232 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsChildbirthNatural childbirthHome birthPlace of birthHealth careBirth control
DOInot available

Abstract

fetched live from OpenAlex

Until 1993, when midwifery was made a profession in Ontario, Canada was the only industrialized country that did not recognize midwifery (Bourgeault 1999). Save for a few small religious, remote and Aboriginal communities it was rare that a woman in Canada gave birth anywhere other than a hospital attended by a physician. However, in the 1970s a tiny but growing movement of women sought and took control of their birth experiences by choosing to give birth in their own homes with the assistance of friends. These friends were self-taught midwives whose approach to pregnancy and childbirth was very different than those of their medical counterparts. Unlike physicians who are taught that birth is normal after the fact, midwives treat birth as a normal natural event and see labouring women as their own birth experts. This social movement was taking shape across the country, but it was in Ontario where these lay-trained midwives were the first to make it across the professional finish line. Two new books reflect on this Canadian first and assess its implications for midwifery and for sociological examination of professions. In the aptly titled Push!, Ivy Lynne Bourgeault documents the long, arduous struggle to professionalize midwifery in Ontario. However, Push! is more than just a chronicle of the painstaking steps taken to integrate midwifery into the provincial healthcare system. It also captures

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.108
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0260.014
Scholarly communication0.0130.003
Open science0.0010.005
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0580.004

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 head0.061
GPT teacher head0.368
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2014
Admission routes1
Has abstractyes

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