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Record W7081926169 · doi:10.1016/j.envsci.2025.104215

Does community-based monitoring advance Indigenous self-determination? Inuit-led monitoring and governance in Nunavut and Greenland

2025· article· en· W7081926169 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

VenueEnvironmental Science & Policy · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsIndigenousCorporate governanceRigourTraditional knowledgeEnvironmental governanceAcknowledgementPoliticsConvention on Biological DiversityValue (mathematics)

Abstract

fetched live from OpenAlex

Existing literature on Community-Based Monitoring suggests that participation in monitoring can increase the extent to which decision-making is informed by observed environmental trends. Yet, there is an ambivalence within the literature concerning the value for Indigenous peoples. Some scholars maintain that CBM programs replicate and reinforce colonial political inequalities while others suggest that such programs can and do support Indigenous self-determination. In this study, I explore such questions through empirical engagement with case studies of two established Indigenous-led programs in Nunavut, Canada, and Greenland that involve the collection of Indigenous Knowledge for use in decision-making. I contribute to the field by examining monitoring as a process through which knowledge and governance are co-constituted through politically unequal relationships. Considering this, I argue that Indigenous-led CBM can support self-determination in environmental governance given the right conditions. I identify three factors that are fundamental to achieving this. First, explicit legal acknowledgement of Indigenous rights, authority, and knowledge systems is key to mobilizing CBM data. Second, while the fundamental goal of such programs is to enhance the use of knowledge in decision-making, Indigenous leadership and data governance are important safeguards against extractive knowledge production. Finally, a theory of power is necessary to critically analyse both the directly observable and more subtle ways in which power influences the potential for CBM programs to promote Indigenous self-determination. • Systematic collection of Indigenous Knowledge can produce valuable datasets. • Rigour in data collection does not automatically translate to improved decision-making. • Neither CBM nor governance are merely technical, politically neutral processes. • Indigenous leadership and governance help counter extractive knowledge production. • Unequal politics continue to limit Indigenous self-determination in decision-making.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.005
GPT teacher head0.244
Teacher spread0.239 · 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