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Record W2100696408 · doi:10.7202/013195ar

Caribou, river and ocean: Harvaqtuurmiut landscape organization and orientation

2006· article· en· W2100696408 on OpenAlexaffvenueabout
Darren Keith

Bibliographic record

VenueÉtudes/Inuit/Studies · 2006
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInstitute for Circumpolar Health Research
Fundersnot available
KeywordsSubsistence agricultureGeographyRiver mouthPerceptionArchaeologyGeologyAgricultureGeomorphology

Abstract

fetched live from OpenAlex

The Harvaqtuurmiut were an Inuit society whose territory was Harvaqtuuq—the lower Kazan River—between the outlet of Hikuligjuaq (Yathkyed Lake) and the river’s mouth at Qamani’tuaq (Baker Lake). The Harvaqtuurmiut lived a completely inland existence and their subsistence revolved largely around the migration of caribou. In Harvaqtuurmiut perception, the landscape was organized and given orientation by three important influences: the migration of caribou; the flow of the river; and the relative location of the ocean. The organizing and orienting effects of these three influences are demonstrated through an analysis of Harvaqtuurmiut place names. Concepts related to the flow of the river and the relative location of the ocean were imbedded in the Inuktitut language at the time of Inuit migration to Harvaqtuuq in the mid-19th century. The environmental force of the caribou migration became very influential in Harvaqtuurmiut perception of landscape organization and orientation only after they had adapted to subsistence inland.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.216
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.343
Teacher spread0.316 · 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

Citations9
Published2006
Admission routes3
Has abstractyes

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