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What does Permafrost mean to you? Inuvialuit and Gwich’in Knowledge Holders’ Perceptions of a Thawing Relation

2025· article· en· W4416193753 on OpenAlexvenueaboutno aff
Susanna Gartler, Susan A. Crate

Bibliographic record

VenueAnthropologica · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostForegroundingIndigenousArcticClimate changeSettlement (finance)Traditional knowledgeScholarship

Abstract

fetched live from OpenAlex

While climate scholarship has detailed the biophysical impacts of Arctic permafrost thaw, less attention has been paid to how permafrost is perceived and lived with. Drawing on community-based research with Inuvialuit and Gwich’in knowledge holders in the Inuvialuit and Gwich’in Settlement Regions of the Western Canadian Arctic, we argue that permafrost is more than frozen ground: it sustains mobility, subsistence, and cultural continuity; and its degradation threatens these life-giving relations. Analyzing Indigenous land users’ narratives through the lenses of perception studies and infrastructure theory—and foregrounding critical Indigenous scholarship—we propose that permafrost can be understood as critical and alimentary infrastructure in a decolonial sense: an essential system and web of relations vital to societal functioning and a good life on the land. By exploring the meanings attributed to permafrost as a material, and how Indigenous land users engage with the ever-changing landscape and the acceleration of change in the Mackenzie Delta, our study highlights how permafrost thaw impacts perpetuate power imbalances of settler colonialism, as well as how Indigenous perspectives draw attention to permafrost as inseparable from land, kinship, and sustenance. This engagement expands infrastructural analysis through Indigenous epistemologies, producing new understandings of both infrastructure and environment in Arctic contexts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.425
Teacher spread0.386 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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