Untold Stories: Indigenous Knowledge Beyond the Changing Arctic Cryosphere
Notice bibliographique
Résumé
Scientific attention to climate change in the Arctic has spurred extensive research, including many studies of Indigenous knowledge and the effects of climate change on Indigenous peoples. These topics have been reported in many scientific papers, books, and in the IPCC's 2019 Special Report on the Ocean and Cryosphere in a Changing Climate (SROCC), as well as attracting considerable interest in the popular media. We assembled a set of peer-reviewed publications concerning Arctic Indigenous peoples and climate change for the SROCC, to which we have added additional papers discovered through a subsequent literature search. A closer look at the 76 papers in our sample reveals additional emphases on economics, culture, health and mental health, policy and governance, and other topics. While these emphases reflect to some degree the perspectives of the Indigenous peoples involved in the studies, they are also subject to bias from the interests and abilities of the researchers involved, compounded by a lack of comparative research. Our review shows first that climate change does not occur in isolation or even as the primary threat to Indigenous well-being in the Arctic, but the lack of systematic investigation hampers any effort to assess the role of other factors in a comprehensive manner; and second that the common and perhaps prevailing narrative that climate change spells inevitable doom for Arctic Indigenous peoples is contrary to their own narratives of response and resilience. We suggest that there should be a systematic effort in partnership with Indigenous peoples to identify thematic and regional gaps in coverage, supported by targeted funding to fill such gaps. Such an effort may also require recruiting additional researchers with the necessary expertise and providing opportunities for inter-regional information sharing by Arctic Indigenous peoples. As researchers who are visitors to the Arctic, we do not claim that our findings are representative of Indigenous perspectives, only that a more accurate and comprehensive picture of Arctic Indigenous peoples' knowledge of and experiences with climate change is needed. Our analysis also reflects some of the SROCC knowledge gaps and the conclusions provide suggestions for future research.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».