Culture Counts: A choice modelling approach to quantifying cultural values for First Nations peoples
Notice bibliographique
Résumé
In response to the research question 'What methods are feasible, reliable and appropriate for quantifying cultural values for First Nations people?', this thesis demonstrates how choice modelling can elucidate and measure the value that Indigenous people place on aspects of their culture by privileging their viewpoints. Measuring and incorporating these intangible values in policy and legal frameworks is essential to effectively and substantially give voice to First Nations peoples. The idea behind this research developed while travelling with a Nyikina elder who spoke of the tension between income from employment establishing a livelihood in the western way and the cultural activity essential for maintaining cultural connection, identity and wellbeing. Using those tensions and trade-offs in choice modelling enables measurement of intangible values of culture. Choice modelling, which includes discrete choice experiments and best-worst scaling, has strong theoretical bases in economics and psychology, supported with rigorous mathematical architecture. It has been shown to accurately predict actual behaviour, with fewer behavioural biases than contingent valuation. Limited application of choice modelling with First Nations people has occurred in cultural heritage, environmental and resource management contexts. Multiphase fieldwork in several west Kimberley locations, with Nyikina and Mangala people, started with qualitative research to build trust and inform the selection of attributes and levels for the choice model. In order to yield maximum information about preferences, with minimum cognitive load, a Best-Worst Scaling Profile Case model with a supplementary question about profile acceptability, a discrete choice experiment, was developed and incorporated into a survey. The relative preferences identified in responses yield dollar valuations for the cultural attributes. Overall, access to traditional Country had the strongest responses to lowest and highest levels yielding marginal values of up to {dollar}0.44 million per person per annum. As well as informing methodological development, this research has significant implications and potential applications in policy and legal contexts. The need for Indigenous viewpoints to be central in policy development is generally accepted, and choice modelling could support valuation in this context. Failures to protect cultural heritage have highlighted the need to quantify and incorporate cultural values in decision making, rather than dismissing them as immeasurable. Application of choice modelling in native title compensation cases could overcome the current limitation of determinations being reliant on judicial intuition and market proxies.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».