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Record W7062645695

Thinking with Kaipara: A critical analysis of knowledge production in an ecosystem-based management settler colonial context

2020· dissertation· en· W7062645695 on OpenAlexaboutno aff

Bibliographic record

VenueResearchSpace (University of Auckland) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)SituatedTraditional knowledgeKnowledge productionCorporate governancePower (physics)Critical theory
DOInot available

Abstract

fetched live from OpenAlex

Ecosystem-based management is a management approach developed to address the unwarranted degradation crisis facing ecosystems such as coasts, harbours and estuaries. Ecosystem-based management (EBM) remains primarily situated within Western-Eurocentric ontologies and epistemologies, employing language, understandings, and tools of science to define ecosystem challenges and (technical) solutions. Practitioners and many Governments hold it up as an inclusive, holistic and localised (place) approach to managing ecosystems rather than a single species. However, through a critical lens EBM upholds Eurocentric notions of nature where nature is reduced to a resource to dominate, control and ascribe dollar value. The present research believes EBM is worthy but what is lacking, particularly in settler-colonial nations such as Aotearoa, Australia, Canada and the United States, is that knowledge production should have more than a singular (objective) dimension, but rather a multi-dimensional conception of the metaphysical, spiritual and relations with nonhuman nature. I used a critical Indigenous and ecofeminist analytical framework to explore this gap in knowledge informing EBM. This research pushes EBM attributes of inclusivity and (w)holism further to include the intangible (nonhuman) matter that matters to the lives of Indigenous peoples and cultures, women and those being 'Other' and different. With EBM at risk of perpetuating the marginalisation of Indigenous peoples and those socially different in gender, ethnicity, class and sex in the equal access to resources and participation in management, this research aims to provide a timely and novel approach to the discourse. I argue and suggest ways that critical analysis of the role of knowledge and power at the intersections of gender, ethnicity, and nature across space and time helps to problematise ecosystem challenges and use. To understand strategies and restoration practices to be employed. In doing so, social heterogeneous dynamics are (or should be) an integral part of EBM. To privilege the relational and metaphysical aspects of Indigenous cultures, my methodological strategy required alternative modes and practices so that such aspects could be performed, storied, and written about. Developed in collaboration, the 'Thinking with Kaipara' methodological strategy contributes to this call to explore problems and solutions differently through the agency of place and the nonhuman, supported by the intersections of gender, ethnicity and time. The approach illuminates the richness and multiplicities of difference. Nuanced human-nonhuman (co)stories of nature, spirituality, ecosystem degradation, and ourselves (as individuals, members of families, communities, and ecosystems) were shared and laid bare. Through using this intersectional lens, I examined sediment(ation) pollution. Findings revealed how pollution manifests differently across intimate (body, local) scales thereby demonstrating the far-reaching effects of settler-colonialism violence. A relational vision of sediment(ation) is presented based on the geo-creative narratives of four Māori women, who offered their lived experiences and realities of intimate sediment(ation) pollution geographies using methods familiar to and chosen by them. The richness of these narratives enables nuanced and political stories of sediment(ation) to be recalled in relational and affective terms. Such knowledge is absent from dominant accounts of sediment(ation) pollution in ecosystem-based management discourse and practice. The implications of this knowledge impoverishment, based on my research, is that marginalisation of social difference remains. Moreover, normative colonising behaviours and norms of nature-culture relations continue. Thinking with a relational ontology embraces multiple dimensions — affect, spirituality, wairua, ethics, justice — freeing EBM from the power and knowledge production structures of settler-colonialism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.286
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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