MétaCan
Menu
Back to cohort
Record W7163085889

The situation of Inuit communities in northwest Greenland (Kalaallit Nunaat) amid continuously changing environmental and social conditions

2025· article· en· W7163085889 on OpenAlexaboutno aff
Ogawa Monica, Kusaka Ryo, Sugiyama Shin, Mitani Yoko

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSustainabilityEnvironmental changeTraditional knowledgeSustainable developmentClimate change
DOInot available

Abstract

fetched live from OpenAlex

In several regions in the Arctic, scientific knowledge to assess and predict the impacts of environmental changes is insufficient, due to its remoteness and the challenging conditions for conducting surveys. Here, we listened to and documented the stories of the lives of Indigenous people living around Inglefield Bredning, northwest Greenland, to understand the environmental and ecological changes occurring in this area, and the impact of these changes on their lives. Our study introduces scientifically-undocumented environmental and ecological changes in this region such as an increase in Atlantic species, and suggests that these changes are interrelated and occur as part of a chain reaction, rather than in isolation. Through this study, we emphasize the necessity of a multifaceted approach for a better understanding of the complex intertwining of environmental, ecological, cultural, and social changes to develop effective and sustainable management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.955

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.317
Teacher spread0.299 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Explore more

Same venueInstitutional Repositories DataBase (IRDB)Same topicIndigenous Studies and EcologyFrench-language works237,207