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Record W6884640014 · doi:10.11575/prism/35996

Geothermal Energy Opportunities For The Kaska Nation In The Yukon

2017· other· en· W6884640014 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeothermal gradientGeothermal energyRenewable energyResource (disambiguation)Work (physics)OutreachGeothermal explorationGeothermal powerGeothermal heating

Abstract

fetched live from OpenAlex

Geothermal energy provides a versatile, renewable energy opportunity well suited for northern Canadian communities. Early stages of geothermal exploration have commenced in collaboration with the Kaska Nation in southeastern Yukon. This research is for the purpose of community outreach and education; it is meant to contribute to the progress of geothermal exploration and development in Kaska Dena traditional territory and across the Yukon. Building on work by the Barkley Project Group and Mira Geosciences in evaluating geothermal resources along the Tintina Fault Zone, this report provides an interdisciplinary perspective on geothermal energy opportunities for the Kaska Nation. The study includes a review of geothermal resource understanding, potential social and environmental implications of geothermal development, and pre-feasibility economic evaluation of diesel replacement with geothermal. It is shown that geothermal energy could provide multiple heat and power applications that would serve the long-term socio-economic goals of remote, northern communities in the Yukon.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.694
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.045
GPT teacher head0.221
Teacher spread0.175 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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