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Record W7099189724

Recommended Citation Parkey, Jeffrey, "BREAKING THE ICE: PROSPECTS FOR CANADIAN-AMERICAN INSTITUTIONAL CHANGE IN THE GOVERNANCE OF THE NORTHWEST PASSAGE " (2010). All Dissertations. Paper 623. BREAKING THE ICE: PROSPECTS FOR CANADIAN-AMERICAN INSTITUTIONA

2010· article· en· W7099189724 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
Fundersnot available
KeywordsStatus quoCorporate governanceInstitutionInstitutional analysisInstitutional changeClimate change
DOInot available

Abstract

fetched live from OpenAlex

This study assesses four institutional approaches to governing the use of the Northwest Passage, including the current rules in use. The assessment is conducted through the use of expert interviews, a review of the theoretical literature, and an examination of comparative cases. Because of significant environmental changes underway in the Arctic region, institutional change for Northwest Passage management is receiving increased attention. Due to the potential environmental and security impacts of regularized ship transits through the Northwest Passage, a number of informed observers have discussed the need for considering alternative means of governing the waterway. The advantages and disadvantages of institutional alternatives are investigated here. The analysis suggests maintenance of the status quo institution appears to be the most likely

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)0.002
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.011
Science and technology studies0.0110.005
Scholarly communication0.0070.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.002

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 head0.061
GPT teacher head0.325
Teacher spread0.265 · 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
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

Citations0
Published2010
Admission routes1
Has abstractyes

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Same topicBiological and pharmacological studies of plantsFrench-language works237,207