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Record W3109852175 · doi:10.1177/1609406920949803

Research Ethics in Decolonizing Research With Inuit Communities in Nunavut: The Challenge of Translating Knowledge Into Action

2020· article· en· W3109852175 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReflexivityNegotiationAction researchIndigenousParticipatory action researchCorporate governanceResearch ethicsPublic relationsSociologyPolitical scienceEngineering ethicsPedagogySocial scienceManagement

Abstract

fetched live from OpenAlex

Research failures are not readily disclosed in research representations. This exclusion is a missed opportunity to practice reflexivity, a practice otherwise crucially important to social science inquiry, and share the learning that was inspired by the failure. In this paper I present and reflect on a research failure that occurred during my doctoral research into alternative, Inuit-centered models of fisheries governance in Nunavut. While working on defining the research, I experienced a far-reaching impasse due to the lack of community response and academic guidance. Eventually, despite the best intentions to engage in decolonizing research, I chose to forgo meaningful community consultation before embarking on my fieldwork. Decolonizing research centers collaboration and local research needs from the outset. At the same time, what it means to negotiate a research relationship is in itself negotiable. Further, the negotiating is often challenged by time constraints, institutional restrictions, and limited financial resources. Lessons learned from my case study include a) that a nonideal start does not mean that the entire research project will fail and b) that participating Indigenous communities have the sovereignty, irrespective of existing protocols, to set the terms under which research can take place. Above all, negotiating a research relationship is about relational work which requires commitment and continuous engagement.

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: Empirical
About the Canadian research system: yes · About a Canadian topic: yes
Qualitativehigh
gptMetaresearchResearch integrity
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativehigh
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)0.117
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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 score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1170.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.007
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 head0.937
GPT teacher head0.775
Teacher spread0.162 · 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