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Record W2792516080 · doi:10.1080/14662043.2017.1422418

The Far North Act in Ontario, Canada: a sons of the soil conflict in the making?

2018· article· en· W2792516080 on OpenAlexaffabout
Isabelle Côté, Matthew I. Mitchell

Bibliographic record

VenueCommonwealth and Comparative Politics · 2018
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of SaskatchewanMemorial University of Newfoundland
Fundersnot available
KeywordsIndigenousPoliticsTreatyPolitical scienceGovernment (linguistics)StakeholderLand rightsEnvironmental ethicsPublic administrationConceptual frameworkColonialismCustomary landEnvironmental planningGeographySociologyLawLand tenureSocial scienceEcologyArchaeology

Abstract

fetched live from OpenAlex

In 2010, the Government of Ontario, Canada passed the controversial Far North Act. The Act purportedly aims to promote land use planning and sustainable development while recognising Aboriginal and Treaty rights. There are, however, early warning signs that the Act could be a breeding ground for future conflict between Indigenous peoples and other stakeholder groups. This article adopts a ‘sons of the soil’ conceptual framework to explore the mechanisms that could give rise to the escalation of Indigenous vs. non-Indigenous conflict. The findings provide important insights for theorising the contentious politics around land and territory in diverse settler-colonial contexts.

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)0.002
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.104
Threshold uncertainty score0.754

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0300.026
Scholarly communication0.0110.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.050
GPT teacher head0.261
Teacher spread0.212 · 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

Citations4
Published2018
Admission routes2
Has abstractyes

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