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Record W7047062467

Everything to Lose: Extraction, Racism, and Survival on Wet'suwet'en Land

2022· dissertation· en· W7047062467 on OpenAlexaboutno aff

Bibliographic record

VenueCUNY Academic Works (City University of New York) · 2022
Typedissertation
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousOpposition (politics)RacismTimelineIndigenous rightsRedressSettlement (finance)NIMBYState (computer science)Corporate governance
DOInot available

Abstract

fetched live from OpenAlex

This work critically analyzes the role of extractive industry in the continued colonization of Indigenous peoples and occupation of Indigenous lands, and examines how Indigenous resistance to oil and gas projects augments the damaging effects of fossil fuel extraction and create alternative possibilities for life in the face of catastrophic environmental crises. In Wet’suwet’en territory, in Northern British Columbia, Canada, construction has begun on the fracked gas Coastal GasLink pipeline, despite the opposition of local Indigenous leaders and chiefs. Several Indigenous land reoccupation camps have been set up by Wet’suwet’en people to resist the pipeline’s construction, and the resulting conflict between industry and Indigenous land defenders has erupted in a series of police raids beginning in 2018. Residents of the Wet’suwet’en camps have been subject to intensive police surveillance, criminalization, harassment, and arrest. The treatment of land defenders is a continuation of the state-sponsored violence and racism that has accompanied white settlement on Wet’suwet’en territories since the beginning of colonization. In response, Indigenous people and supporters have rallied behind Wet’suwet’en governance and Indigenous law, which aims to protect the land and water from the destructive forces of both colonization and industrial development. What spatial, social, and temporal formations emerge as alternatives to industry destruction and state violence in these spaces of siege? How might such formations challenge the destructive timelines threatened by global climate change and create options for survival? And how has the fight to protect Wet’suwet’en lands shaped a broader response to racism and environmental destruction that is rooted in Indigenous ways of relating to humans and the land? To address these questions, this work provides a perspective from inside the Indigenous land defense movement on Wet’suwet’en territories. As auto-ethnography, the work examines Indigenous resistance to pipeline infrastructures from the author’s experience as an embedded scholar-activist as the resistance intensified from 2018 to 2020. Drawing from this experience, chapters consider the particular history of the Wet’suwet’en and struggles over land and governance; the timelines of apocalypse, catastrophe, and pipeline construction; and the spatial constraints on Indigenous life shaped by colonial law and police. The dissertation concludes with a gesture toward alternative geographies that are centered on freedom and the restoration of balanced relationships between people and Indigenous lands.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.014
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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