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Record W1907628713 · doi:10.7202/1025259ar

Inuit knowledge and use of wood resources on the west coast of Nunavik, Canada

2014· article· en· W1907628713 on OpenAlexafffundvenueabout
Stéphanie Steelandt, Najat Bhiry, Dominique Marguerie, Caroline Desbiens, Minnie Napartuk, Pierre Desrosiers

Bibliographic record

VenueÉtudes/Inuit/Studies · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAvataq Cultural InstituteUniversité LavalCenter for Northern Studies
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsBaySubarctic climateArcticGeographyThe arcticArchaeologyTundraPhysical geographyOceanographyGeology

Abstract

fetched live from OpenAlex

Driftwood and shrubs are the primary wood resources available in most areas of coastal Nunavik. Today, they are mainly used as fuel for campfires, but historically they were very important for the ancestors of present-day Inuit. This article documents Inuit traditional knowledge about the origin, availability, gathering, and exploitation of wood resources in this region located in the Low Arctic and the Subarctic. Interviews were conducted with 27 Inuit between 60 and 89 years of age in the villages of Ivujivik, Akulivik, Inukjuak, and Umiujaq on the east coast of Hudson Bay. Our data reveal, among other things, that Inuktitut names for pieces of driftwood were based on shape, aspect, colour, and texture. This traditional knowledge was very accurate and highly diverse in the southern villages because of their significant exposure to driftwood. Wood from shrubs (i.e. willows, birches, and alders) was mainly harvested in the fall and used to make fires, mattresses, sleeping mats ( alliat ), and other objects. According to the participants, driftwood originates in southern Hudson Bay and James Bay and is washed up on the beaches in late summer and the fall. In the far north of Nunavik, where driftwood is small and slender, Inuit used to collect it during the summer from a boat ( umiaq or qajaq ). Further south, it was gathered during the winter by dogsled.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.330
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.075
GPT teacher head0.355
Teacher spread0.281 · 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

Citations13
Published2014
Admission routes4
Has abstractyes

Explore more

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