MétaCan
Menu
Retour à la cohorte
Enregistrement W4294251634 · doi:10.1002/fee.2557

High stakes and sacrifice in the Arctic

2022· review· en· W4294251634 sur OpenAlexaboutno aff
Amanda H. Lynch

Notice bibliographique

RevueFrontiers in Ecology and the Environment · 2022
Typereview
Langueen
DomaineSocial Sciences
ThématiqueArctic and Russian Policy Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArcticClimate changeArctic ecologyGeographyPolitical scienceEnvironmental protectionOceanographyGeology

Résumé

récupéré en direct d'OpenAlex

Under climate change, the nature of sacrifice is asymmetrical. This is particularly true for the Arctic as decision makers balance diverse risks and divergent interpretations of science concerning Arctic development. The Arctic’s most prized attributes – its apparent remoteness, wildness, and vastness – lead to assessments that the region is capable of absorbing substantial environmental loss and damage. Indeed, in the modern era, the Arctic has been ripe for sacrifice: for instance, between 1955 and 1990, the Soviet Union detonated 88 atmospheric and three underwater nuclear weapons as tests in the Novaya Zemlya archipelago (latitude 75°10′N) alone. With the introduction of perestroika (“restructuring”) and glasnost (“openness”) in 1985, then-Soviet President Mikhail Gorbachev accelerated the end of the Cold War era and with it the Arctic as an arena of strategic importance. By 1996, the intergovernmental Arctic Council was constituted, comprising the eight Arctic states – Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden, and the US – together with Indigenous permanent participants, observer states, and other entities. The Arctic Council was established to support peaceful scientific collaboration and environmental protection. The Ilulissat Declaration of 2008 re-affirmed the commitment of the five Arctic littoral states to protection of the Arctic marine environment. But this cooperation has always been in the context of the (preferably sustainable) exploitation and use of the region’s natural resources, including the hydrocarbons whose combustion and resulting emissions are responsible for anthropogenic climate change. What has followed is a period wherein the increasing significance of Arctic amplification – the fact that climate-change impacts manifest sooner and with larger magnitude in the Arctic – is widely recognized. Arctic amplification, as evidence of anthropogenic climate change and of its profound consequences, has raised the stakes in forestalling climate change. But it also challenges the conception of the Arctic as a sacrifice zone. The trade-offs have become both more apparent and less acceptable. What, then, should be our understanding of the common good in the Arctic? The common good, in the widest possible sense, is a commitment to the dignity of life. There is no universal definition of dignity; it is contingent on values. As a result, decision makers seldom agree on valid and appropriate means to achieve dignity. Rather, the social process of identifying and pursuing the common good calls for balancing progress toward dignity against the potential for loss. This balancing act is subject to competing claims within any given context – as in the Arctic. High stakes provoke a higher standard for science and any knowledge relevant to decision making. Concentrations of power, wealth, and other values support alternative interpretations of what constitutes the common good, what can be considered progress toward it, and what losses can be accommodated. But even when there is consensus over what is at stake and what outcomes are preferred, any loss will constitute a sacrifice – voluntary or not, or even by default. Furthermore, at any scale, what we are willing to sacrifice is influenced by what we see or experience directly and by what seems far, irrelevant, or inconsequential. And when the stakes are high, sacrifice of the remote is even more readily justified. This is a key observation in the context of climate change, where environmental and other impacts are often concentrated in regions and among communities that are remote from the individuals, organizations, and governments whose behavior facilitates high-stakes loss and damage. In 2022, assessments of the common good in and for the Arctic are evolving as rapidly as the biophysical environment. The accelerating retreat of ice on land and at sea is raising expectations for both new opportunities and new challenges in hydrocarbon exploitation, international shipping, infrastructure development, fisheries, and tourism. The invasion of Ukraine by Russia has profound consequences for the Arctic as sanctions affect the Russian-administered Northern Sea Route. Economic development by and for Arctic peoples is coupled with an influx of mid-latitude actors, vying for primacy in the Race to the North. Identifying and appraising trade-offs is challenging. One must account for diverse factors and conditions, including the historical inequities accruing from colonial exploitation and the current aspirations of Arctic peoples. Nature responds dramatically to our past actions and our inability, now, to act. Multiple converging forces in the Arctic region are increasing the stakes for the world. The Arctic is no longer remote.

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)0,006
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0150,017
Communication savante0,0090,005
Science ouverte0,0010,010
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,026
Tête enseignante GPT0,278
Écart entre enseignants0,251 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueFrontiers in Ecology and the EnvironmentMême sujetArctic and Russian Policy StudiesTravaux en français237 207