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Record W3172729171 · doi:10.1186/s12961-021-00726-w

Where is critical analysis of power and positionality in knowledge translation?

2021· letter· en· W3172729171 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Research Policy and Systems · 2021
Typeletter
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsReflexivityKnowledge translationHealth services researchSociologyContext (archaeology)Power (physics)EpistemologyCritical theoryKnowledge productionEngineering ethicsSocial sciencePolitical scienceKnowledge managementHealth careComputer scienceLaw

Abstract

fetched live from OpenAlex

In Canada, the Eurocentric epistemological foundations of knowledge translation (KT) approaches and practices have been significantly influenced by the Canadian Institutes of Health Research (CIHR) KT definition. More recently, integrated knowledge translation (IKT) has emerged in part as epistemic resistance to Eurocentric discourse to critically analyse power relations between researcher and participants. Yet, despite the proliferation of IKT literature, issues of power in research relationships and strategies to equalize relationships remain largely unaddressed. In this paper, we analyse the gaps in current IKT theorizing against the backdrop of the CIHR KT definition by drawing on critical scholars, specifically those writing about standpoint theory and critical reflexivity, to advance IKT practice that worked to surface and change research-based power dynamics within the context of health research systems and policy.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptScience and technology studiesScholarly communication
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.020
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.151
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.894
GPT teacher head0.770
Teacher spread0.125 · 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