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The Sacred Place Where Life Begins

2021· book-chapter· en· W4285466257 on OpenAlexaboutno aff
Finis Dunaway

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2021
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArcticIndigenousSustenanceColonialismArchaeologyThe arcticEnvironmental ethicsEcologyOceanographyPolitical scienceGeologyLaw

Abstract

fetched live from OpenAlex

This chapter focuses on the profound interconnections between the Arctic Refuge coastal plain and Gwich’in communities across northeastern Alaska, the Yukon, and the Northwest Territories. Since time immemorial, the Gwich’in have depended upon the Porcupine caribou herd for their cultural, spiritual, and nutritional sustenance. The Gwich’in describe the Arctic coastal plain—the calving grounds of the Porcupine herd—as “The Sacred Place Where Life Begins.” This chapter considers their connections to the caribou in relation to the history of colonialism, including Gwich’in struggles against proposed mega-projects on both sides of the U.S./Canada border. In particular, the chapter highlights the fight against the Rampart Dam in Yukon Flats, Alaska, during the 1960s and against the Mackenzie Valley Pipeline in northern Canada during the 1970s. It also explains the impact of the Mackenzie Valley Pipeline Inquiry, which was led by Thomas Berger, on Indigenous lands claims agreements in Canada, including the founding of Ivvavik (previously Northern Yukon) and Vuntut National Parks. Finally, the chapter includes some discussion of the US-Canada border and the ongoing effort of the Gwich’in and their allies to protect the Arctic Refuge and adjacent areas as a transnational ecological space.

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: Other
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.003

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 head0.040
GPT teacher head0.266
Teacher spread0.226 · 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
Published2021
Admission routes1
Has abstractyes

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