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Record W4417314701 · doi:10.30676/jfas.154990

Visions for the Future of West Greenlandic Regalia and Knowledge of Seal Skins

2025· article· en· W4417314701 on OpenAlexaboutno aff
Heidi Konttinen

Bibliographic record

VenueSuomen Antropologi Journal of the Finnish Anthropological Society · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersLapin YliopistoSuomen Kulttuurirahasto
KeywordsVisionSeal (emblem)ColonialismSpace (punctuation)Everyday life

Abstract

fetched live from OpenAlex

Since the earliest colonial encounters in Greenland, place-based Inuit knowledge of seal skin processing has been applied and regenerated within a web of regional, national, and global relations. These relations have not only affected methods, materials and designs, but also shaped the societal role of women practicing these skills. This article examines contemporary kalaallisuut (West Greenlandic regalia) making by studying the experiences of its makers and identifying the everyday challenges affecting current practice. Nine semi-structured interviews and a review workshop revealed three main challenges: a lack of appropriate space in which to process seal skins; insufficient compensation; and knowledge-sharing issues. These challenges are examined by scrutinising their root causes, which are frequently connected to colonialism and coloniality; gender, racial, and class inequities; and economic challenges to nation-building. Ultimately, participants envisioned a communal space as a potential response to all three challenges.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.020
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.404
Teacher spread0.380 · 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 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 routes1
Has abstractyes

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