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Record W2972796685 · doi:10.1177/0886109919873909

Childbirth Distress: A Call for Professional Engagement

2019· article· en· W2972796685 on OpenAlexaff
Christiana MacDougall

Bibliographic record

VenueAffilia · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsMount Allison University
Fundersnot available
KeywordsChildbirthNarrativeSocial workDistressSociologyScholarshipContext (archaeology)Gender studiesMental healthMental distressPsychologySocial psychologyPublic relationsPolitical sciencePsychiatryPsychotherapistPregnancyLaw

Abstract

fetched live from OpenAlex

Among women who give birth, roughly half describe their birth experiences as traumatic. Childbirth trauma is a topic of growing global interest for health and mental health professions. However, social work remains peripheral in this emerging area of scholarship and practice. This article presents a portion of findings from recent feminist narrative social work research exploring women’s narratives of their experiences of emotional distress in childbirth to illustrate the need for increased professional engagement with this important social issue. Analysis of participants’ narratives illustrates how Foucault’s discourse and power/knowledge can be useful in understanding the subtle social forces that shape birth experiences which may result in emotional distress. In this article, I argue the topic of childbirth distress falls within the reproductive rights framework and should be of importance to social workers. The findings presented below are discussed in the context of the International Federation of Social Workers’ ethical principles and its policy statement on women to support this position.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.998

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)0.0030.000

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 head0.027
GPT teacher head0.361
Teacher spread0.333 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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