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Record W4244577634 · doi:10.24124/2009/bpgub1417

Nurse practitioners in First Nations communities: improving access to contraception, decreasing teenage pregnancy

2009· dissertation· en· W4244577634 on OpenAlexaffabout
Elizabeth Berlin

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsReproductive healthNursingTeenage pregnancyContext (archaeology)PregnancyFamily planningMedicineHealth careFamily medicinePopulationPsychologyEconomic growthEnvironmental healthGeographyResearch methodology

Abstract

fetched live from OpenAlex

This paper addresses the question: For isolated First Nations youth, would employing Nurse Practitioners on reserve to provide Primary Health Care reduce teen pregnancy rates compared to the present system of accessing Primary Health Care in neighboring larger centres? Teenage pregnancy rates among First Nations are substantially higher than for Canadians at large. Additionally, culture and context are factors which play a significant role in this situation and must be acknowledged and incorporated into prevention efforts. The Conceptual Framework of Sexual Health for American Indian Youth will be used as a reference for examining the literature and to guide the development of a tool for delivering Primary Health Care related to sexual health. Nurse Practitioners working in First Nations communities are poised to build long lasting bonds with communities while increasing access to contraception. In this paper it is argued that provision of contraception in a culturally safe framework will contribute to decreasing teen pregnancy rates while improving the overall health of First Nations communities.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.449
Teacher spread0.402 · 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
Published2009
Admission routes2
Has abstractyes

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