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Record W3154349132 · doi:10.1177/01939459211010192

When Fear Surrounding Childbirth Leads Women to Request a Planned Cesarean Birth

2021· article· en· W3154349132 on OpenAlexaff
Janet Bryanton, Cheryl Tatano Beck, Stephanie Morrison

Bibliographic record

VenueWestern Journal of Nursing Research · 2021
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsChildbirthObstetricsMedicinePregnancyCesarean deliveryPsychologyNursing

Abstract

fetched live from OpenAlex

Fear surrounding childbirth requires a more in-depth understanding from women's perspectives, especially those who request a planned cesarean due to that fear. Therefore, we explored primiparous and multiparous women's lived experiences of fear surrounding childbirth in relation to their decision to request a planned cesarean birth. We used Colaizzi's (1978) phenomenological method to interview 16 women from 4 provinces and to analyze the data. Women expressed numerous fears and most experienced more than one fear. Most feared their baby/babies being injured or dying during childbirth or developing complications themselves. Others feared experiencing a traumatic birth. Women described numerous emotional and physical manifestations of fear, and all believed that a planned cesarean birth would provide more control over the birth process. For some, the birth of their healthy baby/babies began a healing process, whereas others noted that their fear subsided or resolved upon confirmation that they would have a planned cesarean.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.138
GPT teacher head0.466
Teacher spread0.328 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2021
Admission routes1
Has abstractyes

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