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Record W2095606625 · doi:10.14430/arctic4267

Ways We Respect Caribou: Teetł’it Gwich’in Rules

2013· article· en· W2095606625 on OpenAlexaffvenueabout
Kristine Wray, Brenda Parlee

Bibliographic record

VenueARCTIC · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTraditional knowledgePopulationWildlifeThe arcticGeographyPsychologyEnvironmental resource managementSociologyEcologyDemographyIndigenous

Abstract

fetched live from OpenAlex

Debates about respectful caribou harvesting have arisen during the most recent cycle of caribou population decline in the Western Arctic. One aspect of this debate has been focused on younger harvesters, who are perceived by some leaders, elders, and wildlife management officials as lacking in knowledge and skills for respectful harvesting compared to previous generations. Guided by previous research in northern Canada, we examined this issue through a collaborative study (2007 – 10) in the Teetł’it Gwich’in community of Fort McPherson. This paper uses the common pool resource concept of “rules” (verbalized by research participants as “ways we respect the caribou”) as the lens for exploring how knowledge about traditional practices of respectful harvesting varies with age. Rules for respectful harvesting were documented through semi-structured interviews with Teetł’it Gwich’in elders and used as a guide for assessing the knowledge of active harvesters ranging in age from 19 to 70. While the rules spoken by younger generations show some degree of simplification, there is generally a good match between the rules spoken by elders and those spoken by all generations of active harvesters. Although the depth of knowledge around each rule was not assessed, the results seem to illustrate continuity in key aspects of Teetł’it Gwich’in knowledge and skills for caribou harvesting. Further research is needed, however, into the mechanisms and processes of continuity, with particular attention to how traditional knowledge and skills are being adapted to meet the needs of current and future generations.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.011

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 head0.063
GPT teacher head0.366
Teacher spread0.303 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2013
Admission routes3
Has abstractyes

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Same venueARCTICSame topicIndigenous Studies and EcologyFrench-language works237,207