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Record W2052962795 · doi:10.1177/1043659604268959

Colonialization: A Health Determinant for Pregnant Dogrib Women

2004· review· en· W2052962795 on OpenAlexaffabout
Pertice Moffitt

Bibliographic record

VenueJournal of Transcultural Nursing · 2004
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineMaternal healthObstetricsPsychologyEnvironmental healthHealth servicesPopulation

Abstract

fetched live from OpenAlex

Childbirth for many Aboriginal women living in remote communities of the Northwest Territories, Canada, includes separation from their family and community for weeks at a time. This colonialization of childbirth, enforced for decades, is true for Dogrib Dene. Colonialization produces serious social consequences on the everyday lives of pregnant Aboriginal women, which results in lower health outcomes. This article provides a literature review of colonialization in Canada's far north establishing the position that colonialization is a determinant of health. The purpose of this article is to generate knowledge that will inform health professionals and ultimately reduce health disparities as experienced and evident among Dogrib women. By highlighting the concept of colonialization and establishing this concept as a determinant of health, nurses and midwives will identify disparities created through stressors of power and control. From there, culturally meaningful health promotion strategies will be developed and implemented within their nursing practice.

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)0.001
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: Review
Teacher disagreement score0.942
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.075
GPT teacher head0.446
Teacher spread0.371 · 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

Citations33
Published2004
Admission routes2
Has abstractyes

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