Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,017 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,001 | 0,010 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».