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Record W4411746065 · doi:10.1353/bhm.2025.a963729

High-Tech Obstetrics, Colonialism, and Childbirth Choice in Late Twentieth-Century Canada

2025· article· en· W4411746065 on OpenAlexaboutno aff
Whitney Wood, Danielle Cossey-Sutton

Bibliographic record

VenueBulletin of the history of medicine · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsChildbirthContext (archaeology)IndigenousColonialismMedicineObstetricsBirth ratePregnancyGeographyPolitical sciencePopulationEnvironmental healthLaw

Abstract

fetched live from OpenAlex

Developed in the United States in the late 1950s and 1960s, the electronic fetal monitor (EFM) was increasingly used in obstetric practice throughout North America by the 1970s. In identifying and delineating the "normal" fetal heart rate, EFM played a central role in defining obstetric risk and, in the eyes of many practitioners, quickly became an essential tool of "modern" and "safe" hospitalized birth. Focusing on one specific settler-colonial context, this article explores the relationship between obstetric technologies including the EFM and the childbirth "choices" available to mothers giving birth in late twentieth-century Canada. As smaller hospitals, health centers, and nursing stations, particularly in rural, remote, and northern areas, lacked access to what were framed as essential technologies, obstetric services were withdrawn from many communities, a shift that continues to disproportionately affect Indigenous mothers who are routinely evacuated out to give birth in provincial hospitals.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.787

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0170.010
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.197
Teacher spread0.183 · 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.

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
Published2025
Admission routes1
Has abstractyes

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