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Record W2169105786

Home or away? Factors affecting where women choose to give birth.

2007· article· en· W2169105786 on OpenAlexaboutno aff
Barbara Zelek, Eliseo Orrantia, Heather A. Poole, Jessica Strike

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineReferralThunderFamily medicineDemographyGeographySociology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the factors that influence women to deliver their babies in small rural communities rather than in larger centres that have more comprehensive obstetric services, including cesarean section capability and epidural anesthesia. DESIGN: Self-administered survey. SETTING: Marathon, Ont, a rural community of 4500 in north western Ontario that offers low-risk obstetric services and has no local cesarean section capability. The closest referral centre, Thunder Bay, is 300 km away. PARTICIPANTS: Sixty-four women between 16 and 40 years old living in Marathon. MAIN OUTCOME MEASURES: The relative importance of personal and systemic factors and of beliefs that influence women to choose to give birth in Marathon rather than a larger centre. How well informed women are about local obstetric services. How likely women would be to choose to deliver in Marathon if they had low-risk pregnancies. RESULTS: Beliefs were more important than personal and systemic factors in influencing women's decisions. Respondents were moderately well informed about local obstetric services (mean proportion of correct responses was 66%). Most women with low-risk pregnancies would choose to deliver in Marathon (77.8%). CONCLUSION: For women in Marathon, beliefs are much more important than personal and systemic factors in influencing the decision to give birth in this small rural community.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.042
GPT teacher head0.317
Teacher spread0.275 · 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 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

Citations20
Published2007
Admission routes1
Has abstractyes

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