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Record W1538990246 · doi:10.7202/045409ar

Should we turn the tent? Inuit women and climate change

2011· article· en· W1538990246 on OpenAlexaffvenueabout
Martha Dowsley, Shari Gearheard, Noor Johnson, Jocelyn Inksetter

Bibliographic record

VenueÉtudes/Inuit/Studies · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMcGill UniversityLakehead University
FundersResearch Centre for the Humanities
KeywordsClimate changeEnvironmental changeArcticPerceptionSocial changeAffect (linguistics)GeographyPolitical sciencePsychologyEcology

Abstract

fetched live from OpenAlex

Most of the climate change literature for Arctic Canada in the social sciences has focused on men’s knowledge and experiences. Drawing on research from Qikiqtarjuaq and Clyde River, Nunavut, we explore Inuit women’s perspectives on recent environmental changes, many of which are often attributed to climate change by Inuit or others. We divide issues resulting from environmental change into primary and secondary effects. Primary effects are changes in environmental features that affect, for example, hunting, fishing, and travelling. Secondary effects occur in the community as a result of environmental change. These include changes in the use and condition of country products like seal skins, and the psychological and social impact of environmental changes, such as going out on the land less often due to fear of dangerous conditions. We also offer a preliminary discussion on women’s role in responses to climate change, through their often dominant economic and political roles in their communities, the territory, and various wider global governance fora. Our research indicates that gender helps shape Inuit knowledge of environmental change, as well as social responses to perceptions of change. By examining women’s perceptions of environmental change, we draw attention to the social aspects and also highlight how women can contribute to adaptation, not only to physical changes but also to the resulting social changes.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.707
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.002
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 head0.280
GPT teacher head0.419
Teacher spread0.139 · 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 teacher head, not a consensus.

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

Citations59
Published2011
Admission routes3
Has abstractyes

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