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Record W2512639656 · doi:10.1017/cbo9780511994784.014

Polar Race or Polar Saga?

2011· book-chapter· en· W2512639656 on OpenAlexaboutno aff
P. Whitney Lackenbauer

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolarRace (biology)PhysicsSociologyAstronomyGender studies

Abstract

fetched live from OpenAlex

Climate change is transforming the Arctic. The ice cover on the Arctic Ocean is shrinking in breadth and depth, permafrost is melting, and indigenous flora and fauna are threatened. Questions abound about what these changes will mean for northern peoples and for stability and security in the circumpolar world. Political rhetoric in Canada has heated up, prompted by uncertainty about Canada's hold on its Arctic. Much of this discourse affirms just how little southern Canadians actually know about the north. Although Canadians pay reverence to “the True North strong and free” in our national anthem, the stark reality is that the vast majority lived huddled along the southern boundary with the United States. Ignorance about the Arctic breeds alarmism. The promise of cooperation and dialogue with northern Canadians and our circumpolar neighbors, which seemed to frame government plans in the 1990s, is often jettisoned in recent political pledges to “stand up for Canada.” If many academics and journalists are to be believed, the circumpolar agenda is dominated by a “polar race,” with a concomitant sovereignty and security crisis precipitated by climate change and competing interests in “our” Arctic.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.005
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.004

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 head0.053
GPT teacher head0.250
Teacher spread0.197 · 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

Citations14
Published2011
Admission routes1
Has abstractyes

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