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Record W1522240626

The Costs of Separation: The Birth Experiences of Women in Isolated and Remote Communities in British Columbia

2004· article· en· W1522240626 on OpenAlexaboutno aff
Jude Kornelsen, Stefan Grzybowski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsSeparation (statistics)DemographyGeographyGender studiesSociologyStatisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Cet article est le risultat d'une enqukte qualitative des expkriences dhccoucbkes dans les communautks kloignkes de la Colombie-Britannique. Les rksultats donnent uneplus haut tauxde mortalitk causkepar lbbligation pour lesfemmes de quitter leur communautk pour accoucber. There has been a precipitous decline during the past few years in the number of rural communities across Canada offering local maternity care services (Hutton-Czapski 200 1, 2000; Rourke). There have been sev-eralcontributors to this trend includ-ing health service delivery restructur-ing, difficulties in physician reten-tion and recruitment in rural com-munities (Statement ofMaternity and Newborn Care in Canada), and the trend towards the "medicalization" of childbirth in industrialized coun-tries (Wiegers). Communities that have lost services now join other small rural and remote communities where, due to health human resource capac-ity, geographic isolation, and econo-mies of scale, local birth has not been part of the health services infrastruc-ture for several decades. Pregnant women in these small communities face significant challenges to access-ing care, which in many instances leads to stress and anxiety during the childbearing year (Kornelsen and Grzybowski 2004b; Chamberlain and Barclay). There is a growing understanding of the physiological consequences of stress during pregnancy, with research focusing primarily on the relation-ship between stress and preterm la-bour (Mackey and Boyle; Misra;

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.873

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)0.0000.000

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Citations35
Published2004
Admission routes1
Has abstractyes

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