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Record W4235846905 · doi:10.24124/2011/bpgub1514

The role of the nurse practitioner in the implementation of group prenatal visits for aboriginal women: exploring a new type of care

2011· dissertation· en· W4235846905 on OpenAlexaff
Rona Loewen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsTrinity Western UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsPrenatal careCulturally sensitivePregnancyMedicineNursingCulturally appropriateFamily medicineNurse practitionersHealth carePsychologyEnvironmental healthPopulationSocial psychology

Abstract

fetched live from OpenAlex

Nurse practitioners in British Columbia have an opportunity to introduce an innovative model of prenatal care for Aboriginal women. BC Aboriginal women are at greater risk for pregnancy complications than non-Aboriginal women are. Prenatal care has traditionally offered standardized individual visits for every pregnant woman, regardless of their needs, preferences, or culture. Nurse practitioner (NP)-facilitated group prenatal visits (GPVs) have the potential to provide culturally relevant and accessible prenatal care. An integrative review of the literature demonstrates that by using the Centering Pregnancy model of group prenatal care, NPs can provide relevant, holistic, and safe GPVs. Group prenatal visits can improve the experience of prenatal care for Aboriginal women in British Columbia. Further research is recommended to explore the outcomes of NP-facilitated GPVs and define culturally relevant and safe prenatal care according to BC Aboriginal women. --P. 2.

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)0.011
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.886

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0070.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.371
Teacher spread0.351 · 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 designQualitative
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

Citations0
Published2011
Admission routes1
Has abstractyes

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