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Record W2763919310 · doi:10.15402/esj.v2i1.207

Co-Producing Community and Knowledge: Indigenous Epistemologies of Engaged, Ethical Research in an Urban Context

2017· article· en· W2763919310 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.

venuePublished in a venue whose home country is Canada.
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

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousConceptualizationParticipatory action researchSociologyCommunity-based participatory researchContext (archaeology)Engineering ethicsEnvironmental ethicsCitizen journalismSocial sciencePolitical scienceGeographyAnthropologyEcologyLaw

Abstract

fetched live from OpenAlex

Until recently, the specific and unique ethics considerations of research with the large and diverse populations of Indigenous peoples living in cities have not been adequately addressed. With its emphasis on respect, responsibility, and beneficial outcomes for research participants, community-based participatory research (CBPR) has been described as intrinsically ethical, and in many cases, consistent with a generalized understanding of Indigenous moral values. Through a retrospective reflection on community-engaged research in the urban context of Toronto, this essay examines critically transformations in the conceptualization of ethical research and of CBPR with Indigenous peoples. Historical analysis of urban Indigenous community epistemologies is presented as a dynamic process which informs ethical practice in the production of both community and of knowledge. Community-initiated and implemented research highlights the complexities in urban Indigenous authority-making, complicates contemporary

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)0.955
metaresearch head score (Gemma)0.486
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.9550.486
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.9050.005
Scholarly communication0.0030.002
Open science0.0030.000
Research integrity0.0010.818
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 head0.312
GPT teacher head0.508
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