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Record W2592633050 · doi:10.1017/s0032247417000031

Inuit perspectives of polar bear research: lessons for community-based collaborations

2017· article· en· W2592633050 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

VenuePolar Record · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsThe Arctic Eider SocietyRoyal Ontario MuseumGovernment of NunavutUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPsychological resiliencePolitical scienceResilience (materials science)Resistance (ecology)Environmental resource managementGeographyEnvironmental planningSociologyPublic relationsEnvironmental ethicsEcologyPsychologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT Research partnerships with northern communities hold promise for capacity and resilience against environmental changes. Given their historical ecological and cultural relationship with and, thus, ongoing concern for polar bears, Inuit communities are keen to participate in monitoring programmes. In spite of this, northern communities continue to meet polar bear research and collaborations with some resistance. Here, we summarise and report interviews with Nunavummiut from four communities on Inuit experiences with polar bears and research perspectives. Research interactions reveal ongoing cultural, socio-ecological and ethical barriers to polar bear research projects. Research licenses and standardised ethics procedures do not always guarantee collaborations. Adaptable research methods, mutual understanding and open dialogue are essential to form strong research partnerships with northern communities.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0290.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.515
Teacher spread0.187 · 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