Perspectives on Indigenous knowledge governance in collaborative environmental stewardship
Notice bibliographique
Résumé
Growing from inherent rights to steward territories, the weaving of Indigenous knowledge into environmental stewardship is increasingly being acknowledged and mandated for, both in Canada and internationally. The deep settler colonial roots of environmental stewardship and resource management in Canada, as well as the violence enacted on communities within these spaces and through resource management practices, make this a contentious and deeply complicated task. Furthermore, engagement with Indigenous peoples and their knowledge systems has historically been, and continues to be, extractive, dismissive, and paternalistic, disrupting Indigenous ways of being and failing to recognize inherent rights. In tandem with environmental stewardship rights, Indigenous peoples have articulated and asserted their inherent right to govern their knowledge and data. Indigenous knowledges come from and are practiced on lands and waters and, as such, Indigenous knowledge governance and environmental stewardship are deeply interconnected. However, there are tensions between the recognition of and interest in weaving Indigenous knowledge into environmental stewardship, while adhering to Indigenous knowledge governance principles that ensure protection and prevent extraction, exploitation, or misuse. Growing from this tension, this study is situated in a collaborative Marine Spatial Planning (MSP) program on the South Coast of British Columbia where federal, provincial, and First Nations governments are partnering to envision and plan marine use in the region. Using community-based participatory research methodologies, this study was developed with First Nations partners at the First Nations Fisheries Council of British Columbia (FNFC) and asks how Indigenous knowledges may be ethically and equitably woven into the marine planning process. To do this, I hosted focus groups and interviews with individuals working for each of the MSP partners and sought to better understand perspectives on and experiences with knowledge governance in collaborative environmental stewardship work. The intention driving this study was to provide insight and potential recommendations that may support the FNFC and partners in establishing an MSP process that adhered to and was founded in Indigenous knowledge governance principles and practices. Project findings demonstrate that, rather than understanding knowledge as an object or evidence base separate from people and governance, knowledge systems must be recognized. Thus, expanding mainstream conceptualizations of knowledge governance to include support for and recognition of the systems and people that generate, practice, and hold knowledge. From this vantage, operational considerations include both technical approaches and tools, as well as transformational change required at a societal and individual level. This transformational change must be situated in decolonizing theory and grounded in everyday realities and practices.
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 | 0,011 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,019 | 0,065 |
| Communication savante | 0,016 | 0,008 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».