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Record W2405441965

Antenatal care for Aboriginal and Torres Strait Islander women.

2014· article· en· W2405441965 on OpenAlexaff
Marilyn Clarke, Jacqueline Boyle

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsMainstreamIndigenousProject commissioningCulturally appropriateMedicineHealth carePublishingNursingFamily medicineEconomic growthPolitical science
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: About 6% of Australian births are to an Aboriginal or Torres Strait Islander parent and there is a clear disparity in birth outcomes between Aboriginal and Torres Strait Islander and non-Indigenous Australians. Some issues affecting birth outcomes are similar nationally whilst others will be more particular to certain areas. OBJECTIVE: This paper will highlight important areas that may facilitate improved care for Aboriginal and Torres Strait Islander women. DISCUSSION: A key component of improving pregnancy outcomes is early and ongoing engagement in antenatal care, which is facilitated by the provision of culturally appropriate and evidence based care relevant to the local community. The majority of Aboriginal and Torres Strait Islander peoples live in urban or inner regional areas and receive healthcare through mainstream services and it is important therefore for all practitioners to be aware of how to optimise care to Aboriginal and Torres Strait Islander women.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.173
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.274
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations25
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicIndigenous Health, Education, and Rights→French-language works237,207→