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Record W2044155663 · doi:10.3402/ijch.v66i3.18256

Inuit women’s health in Nunavut, Canada: a review of the literature

2007· review· en· W2044155663 on OpenAlexaffabout
Gwen Healey, Lynn M. Meadows

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2007
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsSouth Health CampusUniversity of CalgaryNunavut Research Institute
Fundersnot available
KeywordsGeographyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVES: Inuit women face challenging health and wellness issues in Northern communities. Literature examining these contexts and the processes through which health is affected is virtually non-existent. The objective [corrected] of this review is to examine and consolidate the available literature on Inuit women's health issues from the last decade in order to identify priorities for future research. STUDY DESIGN: This study is a review of literature from the last decade. Inuit women's health issues that have been raised in the literature and in various reports are examined within a health-determinants framework. METHODS: Government reports and statistics, publications by Inuit organizations and publications available on MEDLINE were examined for this review. RESULTS: Inuit women's health is a crucial part of the health of their communities. Inuit women face serious health issues related to reproductive and sexual health, such as high rates of sexually transmitted infections and challenging circumstances surrounding childbirth. Wellness, suicide and stress are more significant issues for Inuit women compared with non-Inuit women. Food security and accessibility is an issue for all Northerners. Alcohol and substance abuse and exposure to violent situations endanger both the health and safety of Inuit women in many Northern communities. CONCLUSIONS: There exists an urgent need to better understand the mechanisms through which determinants of health affect Inuit women. As well as adding to the body of knowledge on health determinants in Canada, further examining these issues will provide valuable information for health policy decision-makers and program development in the North and facilitate the direction of resources to the necessary areas of health services provision in Nunavut.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.690
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.445
Teacher spread0.395 · 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 teacher head, not a consensus.

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

Citations54
Published2007
Admission routes2
Has abstractyes

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