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Record W7112220709

Technological Capacity Building with Drones in Support of Indigenous Natural Resource Governance, Land Rights, and Title

2025· dissertation· en· W7112220709 on OpenAlexaboutno aff

Bibliographic record

VenueDigiNole (Florida State University) · 2025
Typedissertation
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGovernment (linguistics)PoliticsCorporate governanceNegotiationNatural resourceCapacity buildingStewardship (theology)Treaty
DOInot available

Abstract

fetched live from OpenAlex

Resource governance in Indigenous communities is impacted by the dichotomy between Western power and Indigenous knowledge. In this thesis, I use counter-mapping as a methodology to highlight the value of Indigenous knowledge, drawing on geovisualization methods to build Wet'suwet'en technological capacity to expose and contest settler geographies. I will discuss my experience as an unmanned aircraft systems (UAS) trainer with a Wet'suwet'en field technician team and how my insight can impact future trainers' ability to understand the gap in technological capacity and literacy between provincial government agencies and First Nations. The Canadian province of British Columbia (BC) comprises nearly nine hundred and forty-five thousand square kilometers, 95% of which remains subject to Aboriginal title claims. Historically, the government in BC did not sign formal treaty agreements with the vast majority of the Indigenous nations, whose ancestral land title remains unceded. Over a century has passed since government officials first sought to remove the Indigenous nation of the Wet'suwet'en from their territories onto tiny government-allocated reserves and nearly 50 years since negotiations began for a contemporary treaty. However, there are no agreements that cede authority to the Canadian government over Wet'suwet'en territory. Across this time, the Wet'suwet'en have continued their hereditary governance system. This thesis speaks to the current political geographies of First Nations communities in a time where extractive industries threaten reciprocal land relationships that are the basis for Wet'suwet'en hereditary governance system. Based on research with the Wet'suwet'en, this thesis emphasizes three necessary elements for successful training endeavors to build First Nations technical capacity: (1) centralizing of Wet'suwet'en community values, (2) focusing on increasing sustainable capacity, and (3) prioritizing balanced knowledge transference between First Nations and researchers. Interviews found tensions between the silos of provincial government and the basket of hereditary governance systems. Ethnography training found that reinterpretation should be considered as an additional principle of community-based participatory research partnerships using geospatial methods. Moreover, GIS analysis of the data collected through training activities indicates that logging activity on sampled Wet'suwet'en territories has not historically adhered to established provincial environmental protections regulations, specifically in terms of encroachment into minimum riparian buffer zones along the Zymoetz River.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.158
Teacher spread0.154 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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