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Record W2122406449 · doi:10.1177/1049732313507501

Attitudes and Preferences of Young Women With Low and High Fear of Childbirth

2013· article· en· W2122406449 on OpenAlexafffundabout
Kathrin Stoll, Wendy A. Hall

Bibliographic record

VenueQualitative Health Research · 2013
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsChildbirthFeelingPsychological interventionPsychologyPregnancyMedicineNursingObstetricsSocial psychology

Abstract

fetched live from OpenAlex

We examined constructions of labor and birth for 461 Canadian women who attended the University of British Columbia (Canada) and participated in an online survey about pregnancy and birth, using a combination of Likert items and open-ended questions. We performed a content analysis of women's open-ended responses about their feelings toward birth and analyzed comments of women with high and low fear of childbirth separately. Students with high fear of birth described childbirth as a frightening and painful ordeal and viewed obstetric interventions as a means to make labor and birth more manageable. Students with low fear constructed birth as a natural event and regarded interventions more critically. Students in both groups supported women's autonomous maternity care decisions. Our findings contribute to care providers' and educators' knowledge about preferences and fears expressed by the next generation of maternity care consumers and potential strategies to reduce their fear of childbirth.

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 score0.614
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.210
GPT teacher head0.539
Teacher spread0.330 · 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

Citations65
Published2013
Admission routes3
Has abstractyes

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