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Record W2584801207 · doi:10.1177/0017896916689108

Critical race theory–social constructivist bricolage: A health-promoting schools research methodology

2017· article· en· W2584801207 on OpenAlex
Lawrence Nyika, Anne Murray-Orr

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHealth Education Journal · 2017
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsSt. Francis Xavier University
FundersNova Scotia Health Research Foundation
KeywordsBricolageSocial constructivismRace (biology)SociologyCritical theoryEpistemologyConstructivism (international relations)Action researchPsychologySocial sciencePedagogyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

While the current literature recognises the capacity of diverse methodologies to provide informative understandings of health-promoting schools (HPS), there is a paucity of examples to show how different research strategies can be used. We address this knowledge gap by examining the significance of a critical race theory–social constructivist bricolage or hybrid methodology for advancing understanding of the HPS frameworks. A critical race theory–social constructivist bricolage can provide a credible stance from which to study HPS, particularly in relation to people of colour. However, because the framework only weakly addresses the more practical aspects of the research process, we conclude by considering the role of action research as a complementary research approach.

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)0.059
metaresearch head score (Gemma)0.050
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0590.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0460.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.575
GPT teacher head0.694
Teacher spread0.119 · 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