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Record W7102803811 · doi:10.17605/osf.io/c8u23

Advancing Indigenous-Led Research through Collaborative Grant Writing: A Case Study of the 2025 Cultural Safety Retreat

2025· other· W7102803811 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaIndigenousCultural safetyGeneral partnershipHuman rightsCriminal justiceEconomic JusticeParticipatory action researchMental health

Abstract

fetched live from OpenAlex

The overrepresentation of Indigenous people in Canada’s criminal justice system is regarded as one of Canada’s most pressing human rights challenges. In 2021, Indigenous people accounted for 32% of all individuals in custody, up from 23% in 2012. Similar figures exist in in Aotearoa New Zealand, where Māori individuals make up 52.6% of the incarcerated population. These disparities reflect colonial legacies that continue to shape inequities in health, justice, and social systems. In response to calls from the Truth and Reconciliation Commission, the National Inquiry into Missing and Murdered Indigenous Women and Girls and the United Nations Declaration on the Rights of Indigenous Peoples, an international partnership was launched in 2023 to advance cultural safety through Indigenous-led research and knowledge mobilization, and to prioritize collaboration and relationship building across law, corrections, and mental health services. Our partnership spans three Canadian provinces (British Columbia, Manitoba, and Québec) and Aotearoa New Zealand by bringing together Elders and Knowledge Keepers, Indigenous trainees, community partners, individuals with lived experience of incarceration, academics, practitioners, and decision-makers. In July 2025, to advance our goals of developing culturally safe, Indigenous-led services for Indigenous populations involved in the criminal justice system, 22 members met for a three-day Grant Planning Retreat at a healing lodge to plan a national grant application. This retreat provided a unique space to to reimagine research through Indigenous leadership, ceremony, and relationships, bringing together community partners from across jurisdictions. Using a mixed-method approach of an online survey or semi-structured interviews, this Indigenous-led study aims to qualitatively 1) explore what relational, cultural, and structural conditions made the Grey Buffalo Grandfather Lodge effective for advancing Indigenous-led research and working collaboratively; 2) describe the Indigenous-led research process; and 3) identify best practices to inform future Indigenous-led research partnerships and community-engaged knowledge mobilization. This project will explore the effectiveness of the Grant Planning Retreat in promoting Indigenous-led, culturally safe research. Results will highlight Indigenous-led research processes and Indigenous methodologies grounded in meaningful relationships to inform future Indigenous-led partnerships and community-driven knowledge exchange. Aligned with Alexander’s (2024) principles of scholar-activism, knowledge mobilization strategies will effectively bridge the gap between scholarly research and community. Further, findings will be shared in ways that prioritize relational accountability and Indigenous protocols, ensuring that communities have authority in data interpretation and use (Global Indigenous Data Alliance, 2020; First Nations Information Governance, 2014).

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.

How this classification was reachedexpand

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)0.035
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0020.083
Science and technology studies0.0180.016
Scholarly communication0.0060.004
Open science0.0270.024
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.077
GPT teacher head0.466
Teacher spread0.389 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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