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Record W1581203766 · doi:10.7202/1012838ar

Whose agenda is it? Regulating health research ethics in Labrador

2012· article· en· W1581203766 on OpenAlexafffundvenueabout
Fern Brunger, Julie Bull

Bibliographic record

VenueÉtudes/Inuit/Studies · 2012
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of New BrunswickMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsResearch ethicsContext (archaeology)Political sciencePublic relationsHealth careMandateEngineering ethicsSociologyEnvironmental ethicsGeographyLawEngineering

Abstract

fetched live from OpenAlex

In Labrador, the NunatuKavut (formerly Labrador Inuit Métis) have begun to introduce a rigorous community-based research review process. We conducted a study with leaders and health care workers in and beyond the NunatuKavut community of Labrador, asking them what should be emphasised in a community review. We also sought to identify whether and how community review should be distinct from the centralised, “institutional” research ethics review that would be the mandate of Newfoundland and Labrador’s impending provincial health research authority. In this article we report on our findings with the aim of providing strategies and direction for researchers, research ethics boards, and Aboriginal communities dealing with dual-level ethics review. We argue for the adoption and use of a consistent label for community review of research (“Community Research Review Committee”) as distinct from research ethics boards. We provide suggestions for the development of separate roles and responsibilities for community review of research to ensure that its tasks are clearly understood and delineated. Our objective is to promote a form of community research review, distinct from the “ethics” review of research ethics boards, that explicitly attends to research in the context of ongoing colonialism, assimilation, and exoticism.

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)0.055
metaresearch head score (Gemma)0.111
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0550.111
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.010
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 head0.922
GPT teacher head0.726
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations14
Published2012
Admission routes4
Has abstractyes

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