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Record W7161840206 · doi:10.82308/25954

Situating corporations in natural resource management: a corporate power map of Treaty 8 territory in northeastern British Columbia

2019· dissertation· en· W7161840206 on OpenAlexaboutno aff
Emery Hartley

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTreatyNatural resourceCorporate social responsibilityColonialismPower (physics)Resource (disambiguation)Human rightsEnvironmental justice

Abstract

fetched live from OpenAlex

Globally we are facing numerous ecological crises (Steffen et al., 2015; Turner, 2014). These crises are predicated on and exacerbated by economic, legal, and ethical approaches to the environment that are not equipped to address systemic environmental issues (Brown & Garver, 2009; Pelletier, 2010). These environmental issues result from a system that also colonizes and oppresses Indigenous people (Coburn & Atleo, 2016). Both the social justice crises of colonialism and our collective ecological crises have solutions arising from outside of western capitalist society. This paper builds on the proposition that empowering Indigenous actors can lead to radically different human to human and earth to human relationships (Escobar, 2007; Mignolo, 2007). The author worked with Indigenous actors from Treaty 8 territory in Northeastern British Columbia (BC) to establish research objectives supporting their work. A corporate power map of Treaty 8 territory outlines the environmental impacts of resource extraction and helps to identify, characterize, and challenge the corporate network driving extraction. Corporate power mapping combines GIS, Social Network Analysis (SNA), financial analysis, and qualitative observations to critically assess extractive networks. 33 companies were chosen as the center of this study, including 20 companies driving oil and gas exploitation in BC and 13 companies proposing multi-million-dollar investments in the Treaty 8 region. A SNA of affiliated oil and gas companies provides important reflections on the integration of resource extraction companies across Canada, while ownership networks are used to draw parallels between capital extraction and historical sources of colonial power. In closing some applications of corporate power mapping to challenge resource extraction on Treaty 8 territory are explored, including identification of key companies driving and profiting from extractivism.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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