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Record W2946112813 · doi:10.18584/iipj.2019.10.2.4

Social Determinants of Indigenous Health and Indigenous Rights in Policy: A Scoping Review and Analysis of Problem Representation

2019· review· en· W2946112813 on OpenAlex
Emma George, Tamara Mackean, Fran Baum, M. Fisher

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Indigenous Policy Journal · 2019
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersNational Health and Medical Research Council
KeywordsIndigenousIndigenous rightsTokenismSocial determinants of healthSocial policyHealth policyMainstreamPolitical scienceHealth equityEconomic growthPublic policyGovernment (linguistics)Public administrationSociologyHuman rightsHealth careLawEconomics

Abstract

fetched live from OpenAlex

Despite evidence showing the importance of social determinants of Indigenous health and Indigenous rights for health and equity, they are not always recognised within policy. This scoping review identified research on public policy and Indigenous health through a systematic search. Key themes identified included the impact of ongoing colonisation; the central role of government in realising rights; and the difficulties associated with the provision of mainstream services for Indigenous Peoples, including tokenism towards Indigenous issues and the legacy of past policies of assimilation. Our approach to problem representation was guided by Bacchi (2009). Findings from the review show social determinants of Indigenous health and Indigenous rights may be acknowledged in policy rhetoric, but they are not always a priority for action within policy implementation.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0060.003
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.086
GPT teacher head0.499
Teacher spread0.413 · 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