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The Utilization of Antenatal Services in Remote Manitoba First Nations Communities

2001· article· en· W2413743323 on OpenAlexaffabout
Shirley Hiebert

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGeographyMedicineBusinessPolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to describe the utilization of antenatal services by First Nations women in four northern Manitoba communities between January, 1996 and December 1996, and to explore possible relationships between the women's behaviors and antenatal clinic attendance. This study indicated that First Nations women received an optimal level of antenatal service. On average, the women first came to the nursing station in the ninth week of pregnancy and saw the health care provider generally a nurse, ten times for routine visits before maternal evacuation. A minority of women, however, had fewer than five visits. The frequency of routine antenatal clinic attendance was explained by the linear multiple regression model. A higher number of past pregnancies was associated with a decrease in the number of routine antenatal visits, while the number of pregnancy losses predicted the number of visits, after other variables had been taken into account. Married marital status was a positive predictor for the early initiation of care, after past pregnancies and risk score have been taken into account.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.593
Threshold uncertainty score0.808

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.034
GPT teacher head0.350
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2001
Admission routes2
Has abstractyes

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