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Record W2047773729 · doi:10.1080/2154896x.2012.679566

Organizing polar science: Canada’s attempt at developing a national Antarctic programme

2012· article· en· W2047773729 on OpenAlexaffabout
Anita Dey Nuttall

Bibliographic record

VenueThe Polar Journal · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsCanadian Institute for Advanced ResearchUniversity of Alberta
Fundersnot available
KeywordsArcticAntarctic treatyMandatePolitical scienceGovernment (linguistics)GeographyOceanographyLawGeology

Abstract

fetched live from OpenAlex

As the last Arctic state to accede to the Antarctic Treaty after 27 years of its enforcement, Canada is a major Arctic country that operates as a non-consultative party member outside the decision-making machinery of the Antarctic Treaty System (ATS). Canada has no national polar research organization or a coordinated polar research strategy or polar science policy (unlike most other Arctic states). The absence of these hinders the development of a national Antarctic research programme, let alone a national Arctic research plan. Has the lack of a coordinated Canadian approach to science in the Arctic affected the development of a long-term Canadian Antarctic research programme? While the recently proposed Canadian High Arctic Research Station may be seen as filling the gap of a national Arctic research centre, its mandate, however, is focused on the development of Canada’s Arctic science and technology priorities in which Antarctica does not feature. More than a decade has passed, but a fully fledged Canadian Antarctic Research Program (CARP) has yet to be realized. Antarctica has failed to attract enough interest to warrant federal dollars to support a long-term Canadian research programme in Antarctica. The article traces the origins and development of Canada’s Antarctic interests, and examines how the federal government responded in organizational terms to the political challenges and the scientific opportunities of Antarctica.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.269
Teacher spread0.240 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

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