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Record W2913804954 · doi:10.1186/s12960-019-0344-x

Capacity building of the Australian Aboriginal and Torres Strait Islander health researcher workforce: a narrative review

2019· review· en· W2913804954 on OpenAlex
Shaun Ewen, Tess Ryan, Chris Platania‐Phung

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueHuman Resources for Health · 2019
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersLowitja Institute
KeywordsWorkforcePublic relationsHealth services researchCINAHLExcellenceHealth careNursingGrey literatureHealth policyNursing researchMedicineSociologyPolitical sciencePublic healthMEDLINEPsychological intervention

Abstract

fetched live from OpenAlex

BACKGROUND: This paper provides a narrative review that scopes and integrates the literature on the development and strengthening of the Australian Aboriginal and Torres Strait Islander health researcher workforce. The health researcher workforce is a critical, and oft overlooked, element in the health workforce, where the focus is usually on the clinical occupations and capabilities. Support and development of the Australian Aboriginal and Torres Strait Islander health researcher workforce is necessary to realise more effective health policies, a more robust wider health workforce, and evidence-led clinical care. This holds true internationally. It is critical to identify what approaches have resulted in increased numbers of Aboriginal and Torres Strait Islander people in health research, stronger local community partnerships with universities and industry, and research excellence and have contributed to evidence-led health workforce development strategies. METHODS: The search was for peer-reviewed journal articles between 2000 and early 2018 on capacity building of the Aboriginal and Torres Strait Islander health researcher workforce. Databases searched were CINAHL (EBSCO), PubMed, PsychINFO, LIt.search, and Google Scholar, combined with manual searches of select journals and citations in the grey literature. A coding scheme was developed to scan research coverage of various dimensions of health research capacity building. RESULTS: Twenty-four articles were identified. Eight focused on strengthening research capabilities of community members. A recurrent finding was the high research productivity of Aboriginal and Torres Strait Islander health researchers and strong interest in furthering research that makes a substantive contribution to community well-being. Action-based principles were derived from synthesis of the findings. Generally, research capacity building led to numerous gains in workforce development and improving health systems. CONCLUSIONS: There is a shortage of literature on health researcher workforce capacity building. National-level research on capacity building strategies is needed to support the continued success and sustainability of the Australian Aboriginal and Torres Strait Islander health researcher workforce. This research needs to build on the strengths of Aboriginal and Torres Strait Islander researchers. It also needs to identify clear and robust pathways to careers and stable employment in the health workforce, and health researcher workforce more specifically. This need is evident in all settler colonial nations (e.g. Canada, United States of America, New Zealand), and principles can be applied more broadly to other minoritised populations.

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)0.007
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 score0.926
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0090.001
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 head0.165
GPT teacher head0.497
Teacher spread0.332 · 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