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Record W2083162339 · doi:10.14430/arctic4189

Cultural Landscapes, Past and Present, and the South Yukon Ice Patches

2012· article· en· W2083162339 on OpenAlexafffundvenueabout
Sheila Greer, Diane Strand

Bibliographic record

VenueARCTIC · 2012
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsFirst Nations Health and Social Secretariat of Manitoba
FundersMinistry of EnvironmentGovernment of Canada
KeywordsSubsistence agricultureIndigenousGeographyCultural heritageContext (archaeology)Intangible cultural heritageArchaeologyCultural landscapeEcologyAgriculture

Abstract

fetched live from OpenAlex

South Yukon First Nations governments are partners in the Yukon Ice Patch Project investigating the mountaintop snow and ice patches where ancient hunting artifacts are being recovered. Heritage programs operated by these governments, which coordinate their citizens’ engagement in these activities, emphasize intangible cultural heritage. They view the project as an opportunity to strengthen culture, enhance citizens’ understanding of their history, and express First Nations values regarding cultural resources. As the primary mammal subsistence species for south Yukon Indian people is now moose, the ice patch discoveries highlight the historical role of caribou in their culture and increase awareness of the environmental history of their homelands. The cultural landscape concept is used to frame the present indigenous involvement in the Yukon ice patch investigations, as well as the past use of these unique landscape features and ancient land-use patterns. The Yukon Ice Patch Project reflects the contemporary context of the territory, where indigenous governments are actively involved in managing and interpreting their cultural heritage.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.999

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)0.0000.000

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 head0.038
GPT teacher head0.341
Teacher spread0.302 · 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 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

Citations23
Published2012
Admission routes4
Has abstractyes

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