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Record W4382777448 · doi:10.1111/csp2.12972

Bridging Indigenous and <scp>Western</scp> sciences: Decision points guiding aquatic research and monitoring in <scp>Inuit Nunangat</scp>

2023· article· en· W4382777448 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

VenueConservation Science and Practice · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsEnvironment and Climate Change CanadaCarleton UniversityFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsBridging (networking)IndigenousHolismContext (archaeology)SociologyGeographyData scienceComputer scienceEcologyBiology

Abstract

fetched live from OpenAlex

Abstract When brought together, Indigenous and Western sciences offer holism that can strengthen research and monitoring, yet the practices and processes of bridging these sciences are not well understood. We sought to elucidate bridging through a systematic realist review of coastal and marine research and monitoring studies that use methods for gathering Indigenous scientific knowledges and methods for collecting natural sciences data from across Inuit Nunangat (Inuit homelands in Canada; n = 25 case studies). We identified three decision points that shape projects co‐developed by researchers and Inuit communities: research objectives, method bundles (the totality of methods used in a case study), and method sequencing (the order of application of methods in a case study). Example case studies from the review are included to highlight some of the diversity of research pathways available. We discuss areas for further reflection, including method bundle composition, imbalances in method sequences, path dependency and research fatigue, research context, and most importantly, bridging as a relational rather than technical endeavour. We suggest that bridging sciences can, but need not be, a complex undertaking. This paper provides practical details to facilitate cross‐cultural research partnerships at a time of immense environmental and social change.

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)0.031
metaresearch head score (Gemma)0.064
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.064
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0120.001
Scholarly communication0.0000.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.328
GPT teacher head0.509
Teacher spread0.182 · 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