Knowledge Production and Policy in the Arctic: The Political Ecology of the Thick-billed Murre
Notice bibliographique
Résumé
In Greenland, and across the Arctic, subsistence hunting has always been a critical part of the survival of Indigenous groups and their complex moral economies. For many Inuit and Inughuit communities in Greenland, this critical relationship with hunted animals, like the seabird the thick-billed murre (Uria lomvia or “Appa/Appat” in Greenlandic), has remained an important aspect of life even after Danish colonization, Home Rule, and Self-Government have changed the political and economic landscape in the country over the last 200 years. Within the last three decades, however, the thick-billed murre population in Greenland has been facing a decline with some colonies being lost in Southwestern Greenland, which has become the focus of scientific research conducted by seabird biologists in Greenland. This research, and the recommendations made by scientists based upon it has led to stricter hunting regulations and quotas affecting the relationship between hunters and their environment. In this case study of the thick-billed murre and its relationship with humans in Greenland, I utilize a political ecology analytical framework to examine through texts how authority is constructed by scientists to influence hunting regulation policy decisions. Through both thematic analysis and critical discourse analysis, I examine scientific studies, international and national reports, and existing regulations and recommendations. I demonstrate how the thick-billed murre population decline in Greenland is framed as an international and regional problem, but the primary solution that is recommended as the most “actionable” is further regulated local hunting in Greenland. I argue that by using their authority as scientific knowledge producers, scientists and conservationists control the narrative surrounding the population decline in Greenland and characterize hunting as a dysfunctional Inuit-species relationship that requires stricter regulations. However, as they utilize their authority to assert this narrative and to create and push their recommendations to Greenlandic lawmakers and international organizations, they fail to fully interrogate other factors behind the decline and rely on an outdated framework that places scientific knowledge over other forms of knowledge at the expense of Indigenous communities in Greenland.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».