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Diamond Mining in Canada's Northwest Territories: A Colonial Continuity

2012· article· en· W2026051183 on OpenAlexaffabout
Rebecca Hall

Bibliographic record

VenueAntipode · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenousContext (archaeology)State (computer science)BoomColonialismPolitical scienceIndigenous rightsEconomyPoliticsPolitical economyGeographySociologyLawArchaeologyEconomicsEngineeringEcology

Abstract

fetched live from OpenAlex

Abstract: The Canadian diamond industry has been lauded as a new approach to resource extraction, one whose institutions are characterized by a greater attention to Indigenous rights and the environment. However, an institutional analysis obfuscates the terrain of unequal relations that is the context for the Canadian diamond boom; an analysis of the effectiveness of social and environmental policies in relation to the extraction of diamonds in the Canadian North suggests that there is an intent on the part of those instigating this extraction (that is, the Canadian state, Canadian capitalist interests and international capitalist interests) to protect the Northern environment and to provide economic benefits to Northern Indigenous communities. This piece argues, instead, that this assumption is erroneous and that the Northern mining industry is part of Canada's project of internal colonization of Indigenous communities, a project that has intensified and expanded in the neoliberal era.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0190.005
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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

Citations107
Published2012
Admission routes2
Has abstractyes

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