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Enregistrement W4251035722 · doi:10.47555/132019

Supporting Implementation of the Arctic Science Agreement

2019· article· en· W4251035722 sur OpenAlexaboutno aff

Notice bibliographique

RevueScience Diplomacy Action · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueArctic and Russian Policy Studies
Établissements canadiensnon disponible
Organismes subventionnairesNational Science Foundation
Mots-clésArcticPolitical scienceIndigenousGovernment (linguistics)The arcticMarine researchMultidisciplinary approachPublic relationsPublic administrationOceanographyLawGeology

Résumé

récupéré en direct d'OpenAlex

The Arctic Science Agreement entered into force on 23 May 2018 with the Kingdom of Denmark as the depositary is now the third binding legal agreement among all eight Arctic states since 2011, arising with shared leadership from the United States and Russian Federation as co-chairs of the three preceding task forces. The Arctic Science Agreement recognizes the “excellent existing scientific cooperation already under way in many organizations” with the International Arctic Science Committee (IASC) as well as IASSA, UArctic and indigenous knowledge institutions among many others. However, as suggested in a November 2017 policy forum published in the journal Science: “effective implementation of the agreement will require its associated networks (including IASC, UArctic, IASSA, and partner organizations) to help strengthen research and education across borders.” Objective of this panel dialogue is to consider how the scientific community can best assist to achieve effective implementation of the Artic Science Agreement, with strategies such as: • Creation of a communication network with researchers that would aid government officials with their implementation of the Arctic Science Agreement; • Application of an information campaign to alert the broader Arctic research community about the Arctic Science Agreement; or • Development of case studies that might the trigger applications of the Arctic Science Agreement, such as with the Multidisciplinary Drifting Observatory for the Study of Arctic Climate – MOSAiC – project starting in 2019 with more than 120 M Euros across the international consortium. This session also builds on earlier dialogues, including with the International Science Initiative in the Russia Arctic (ISIRA) in Moscow (November 2017) and in Davos (June 2018) as well as in the Ambassadorial Panel on Arctic Science Diplomacy at the 2018 UArctic Congress last month in Oulu, leading into the 2nd Arctic Science Ministerial next week. The Arctic Science Agreement has the potential to be international, interdisciplinary and inclusive (aspiring to be holistic), bridging the natural sciences and social sciences as well as indigenous knowledge with their different methodologies, all of which reveal patterns and trends that are the bases for informed decision-making – integrating questions, data, evidence and options with science as the ‘study of change.’ Importantly, the Arctic Science Agreement reflects a common interest to enhance scientific cooperation even when diplomatic channels among nations are unstable, recognizing first "the importance of maintaining peace, stability, and constructive cooperation in the Arctic.” Such science diplomacy underlies decisions about governance mechanisms and built infrastructure that require close coupling to achieve progress with sustainable development, which is recognized as a ‘common Arctic issue’ by the eight Arctic states and six Indigenous peoples organizations in the Ottawa Declaration that established the Arctic Council in 1996. Translating the general language of the Arctic Science Agreement into enhanced action, however, requires continuous collaboration among diplomatic and scientific communities. This panel is at the early stages of this journey. Each of the panellists will provide 3-minute opening remarks with their written versions to be compiled in a publication of Science Diplomacy Action as a legacy of this dialogue. Following these opening interventions, there will be interactions among the panelists followed by their exchanges with the audience. The Arctic Science Agreement is a special step into OUR COMMON FUTURE with hope and inspiration across generations. It now gives me great pleasure to introduce the panelists in the order of their presentations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,210
score de la tête « metaresearch » (Gemma)0,248
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,210
Score d'incertitude au seuil0,974

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2100,248
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0160,008
Communication savante0,0220,013
Science ouverte0,0060,038
Intégrité de la recherche0,0190,018
Charge utile insuffisante (le modèle a refusé de juger)0,0270,009

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,438
Écart entre enseignants0,403 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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