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Record W4407779157 · doi:10.1080/2373566x.2024.2444639

“Study us to Life”: Reflections from an Indigenous Community-Engaged Research Workshop & the Future of University-Community Research Relationships

2025· article· en· W4407779157 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.

Bibliographic record

VenueGeoHumanities · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsQueen's University
Fundersnot available
KeywordsIndigenousSociologyEngineering ethicsEngineeringEcologyBiology

Abstract

fetched live from OpenAlex

Following an Indigenous community-engaged research workshop, we reflect on the efforts of graduate students to conduct, change, and create partnerships with Indigenous communities. We speak to the ways Indigenous voices must be represented in the future of university-community partnerships and how building longstanding relationships is key to rigorous research practice. Research involving Indigenous communities requires a rigorous process to ensure Indigenous voices are centered. However, prioritizing processes that ensure that Indigenous life is seen, heard, and portrayed properly is challenging for graduate students within current academic training environments. There is a critical need to address the multifaceted challenges that impact the trajectory of Indigenous research particularly in relation to the historic trauma of unethical research, and the work required by academics to (re)concile this today. We address these challenges by discussing community-engaged research approaches in university-community research partnerships, and the benefits of longstanding relationships between PIs and community partners.

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)0.118
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, 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 score0.485
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1180.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.1520.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.032
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 head0.491
GPT teacher head0.488
Teacher spread0.003 · 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