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Record W3120067847 · doi:10.4000/belgeo.44181

L’essor des activités économiques en Arctique : impact des changements climatiques et de la mondialisation

2021· article· fr· W3120067847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBELGEO · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceForestryGeography

Abstract

fetched live from OpenAlex

Avec l’avènement des changements climatiques s’est développée l’idée, fort répandue dans les médias mais aussi chez de nombreux chercheurs, que ces mutations vont favoriser l’essor des activités économiques en Arctique, transport avec le transit entre Atlantique et Pacifique, et activités extractives. Un examen plus attentif de ces activités impose cependant un regard davantage nuancé sur le rôle des changements climatiques. Certes, le trafic maritime a augmenté depuis le tournant du siècle. Cependant, le moteur de cette croissance n’est pas le transit, c’est bien davantage le trafic de destination, navires venant dans l’Arctique pour y effectuer une activité économique. L’activité extractive connait un essor significatif, notamment du côté russe, malgré les conditions d’activité qui demeurent difficiles en dépit des changements climatiques. Des cours des matières premières relativement élevés jusqu’à tout récemment et, en Russie, une forte implication gouvernementale en faveur de la valorisation des ressources, expliquent l’essor de ces activités extractives.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.413
Teacher spread0.351 · 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