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Record W7095688368

322 International Journal of Circumpolar Health 69:4 2010 Canadian Aboriginal\trisk\tstudy\ttrends REVIEW Trends in\tthe\tstudy\tof\tAboriginal

2010· article· en· W7095688368 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsnot available
Fundersnot available
KeywordsCircumpolar starGrey literatureRelevance (law)Agency (philosophy)Relation (database)Public healthInternational agency
DOInot available

Abstract

fetched live from OpenAlex

Objective. To identify trends in the study of health risk in peer-reviewed and grey literature in Canadian Aboriginal populations from 1960 to 2007. Study design. Systematic literature review and analysis. Methods. Peer-reviewed literature was searched using 5 electronic library databases. The grey literature was searched using 3 online search engines, 4 agency websites and 2 online compiled databases. The search terms used were “Canada, ” synonyms for Canadian Aboriginal peoples and “risk. ” Citations were screened for relevance to Aboriginal populations and risks to aspects of human health. Results. Both literatures show an exponential growth in risk-focused study of Canadian Aborig-inal health issues over time. There is a geographic foci in the North with the Prairies and the West under-represented. Risk is most commonly used in relation to general health, environmental, zoonotic infections and chronic diseases in the peer-reviewed literature, and general health or envi-ronment in the grey literature. Most publications in both literatures are on generalized Aboriginal populations. When specified, a larger proportion of the publications relate to First Nations people,

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.000

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 head0.070
GPT teacher head0.541
Teacher spread0.471 · 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
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
Published2010
Admission routes1
Has abstractyes

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