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Record W4406884617 · doi:10.1080/17458927.2024.2402966

“A familiar, not fearful place”: sensory histories of hospital birth in twentieth-century North America

2024· article· en· W4406884617 on OpenAlexafffund
Whitney Wood

Bibliographic record

VenueThe Senses and Society · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsVancouver Island University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHistoryPsychologyVisual artsArt

Abstract

fetched live from OpenAlex

This paper unpacks sensory histories of childbirth in the North American obstetric ward, focusing on the period between 1950 and 1970. Focusing on the intertwining of spaces, bodies, and behaviors, this paper argues that control and mastery of the childbirth experience – including control of pain, key to the “achievement” of a successful natural birth – was seen to be inextricably rooted in familiarity with the hospital environment, the maternity ward, and delivery room. This familiarity, carefully developed during antenatal training, was a necessary precondition for the maintenance of true relaxation throughout the birth experience, a state which demanded the continued management of a range of sensory stimuli, and the strategic use of touch, “whispered encouragements” from the father-to-be, and measured instruction from the (often male) physician to guide the expectant mother through the interpretation of her own sensory experiences and the various stages of labor and delivery.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.022
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.003
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 head0.029
GPT teacher head0.234
Teacher spread0.205 · 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
Published2024
Admission routes2
Has abstractyes

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