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Record W2806316816 · doi:10.1136/medhum-2017-011417

Shifting understandings of labour pain in Canadian medical history

2018· article· en· W2806316816 on OpenAlexaffabout
Whitney Wood

Bibliographic record

VenueMedical Humanities · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMainstreamChildbirthContext (archaeology)SociologyMedical professionMedicineHistoryLawPolitical scienceMedical educationPregnancy

Abstract

fetched live from OpenAlex

While pain in childbirth is a universal, cross-cultural, biological reality, individual experiences and perceptions of this pain are historically and culturally specific. At the turn of the 20th century-a key period in terms of both the medicalisation of birth and the professionalisation of obstetrics in the Canadian context-Canadian physicians understood and conceptualised 'birth pangs' in a number of varying (and at times competing) ways. Throughout the 19th century, doctors emphasised the broader utility of pain as a diagnostic tool and a physiologically necessary part of the birthing process. With the advent of anaesthetics, including chloroform and ether, however, a growing subset of the medical profession simultaneously lauded the professional, physiological, and humanitarian benefits of pain relief. By the first decades of the 20th century, shifting understandings of labour pain-and particularly growing distinctions between 'pain' and 'contraction' in mainstream medical discourses-underscored the increasing use of obstetric anaesthesia. Drawing on a broad range of medical texts and professional literature, and focusing on a key historical moment when the introduction and adoption of a new medical technology opened up possibilities for professional debate, this paper unpacks both the micropolitics and the macropolitics of shifting understandings of labour pain in modern Canadian medical history.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3120.000

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 head0.070
GPT teacher head0.237
Teacher spread0.167 · 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.

Study designNot applicable
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

Citations3
Published2018
Admission routes2
Has abstractyes

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