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Record W2110984219 · doi:10.3402/ijch.v67i2-3.18260

An overview of Aboriginal health research in the social sciences: current trends and future directions

2008· review· en· W2110984219 on OpenAlexafffundabout
Kathi Wilson, Kue Young

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2008
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsThe Wilson CentreUniversity of Toronto
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsMetisCitation indexDiversity (politics)CitationSocial Sciences Citation IndexPopulationSocial scienceScience Citation IndexSociologyGeographyLibrary scienceDemographyAnthropology

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine if Aboriginal health research conducted within the field of social sciences reflects the population and geographic diversity of the Aboriginal population. STUDY DESIGN: Review. METHODS: We searched the Web of Science Social Science Citation Index, the Arts and Humanities Citation Index and Scholars Portal for the time period 1995-2005 using search terms to reflect different names used to refer to Canada's Aboriginal peoples. Citations that did not focus on health or Canada were eliminated. Each paper was coded according to 7 broad categories: Aboriginal identity group; geography; age; health status; health determinants; health services; and methods. RESULTS: Based on the 96 papers reviewed, the results show an under-representation of Métis and urban Aboriginal peoples. Most of the papers are on health status and non-medical determinants of health, with a particular focus on chronic conditions and life-style behaviours. Only 6 papers examined traditional approaches to healing and/or access to traditional healers/medicines. A small number involved the use of community-based research methods. CONCLUSIONS: Further research is required to address gaps in the current body of literature. Community-based research studies are necessary to address gaps that are most relevant to Aboriginal peoples.

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)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.279
GPT teacher head0.595
Teacher spread0.316 · 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

Citations73
Published2008
Admission routes3
Has abstractyes

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