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Record W2913077354 · doi:10.4324/9781315472539-12

Governing for Indigenous environmental justice in Canada

2018· book-chapter· en· W2913077354 on OpenAlexaboutno aff
Deborah McGregor

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousEconomic JusticeEnvironmental justicePolitical scienceEnvironmental ethicsSociologyGeographyLawPhilosophyEcologyBiology

Abstract

fetched live from OpenAlex

This chapter examines the context and the potential role United Nations Declaration on the Rights of Indigenous Peoples can play in guiding new environmental policy directions of environmental justice (EJ) in Canada. It discusses the indigenous-specific EJ policy in the United States (US) will serve as a potential case example. The IEJ policy is intended to 'better clarify and integrate environmental justice principles in a consistent manner in the Agency's work'. The policy is intended to support Tribes and 'Indigenous stakeholders' in the development of their own environmental justice policies. Canada and the US have different political, policy, legislative, and jurisdictional systems fuelled by different ideologies and practices. Indeed, the US has exemplified leadership in the EJ policy and implementation area in North America, although it’s Executive Order 12898 was heavily influenced by grass roots activism and the civil rights movement.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.655
Threshold uncertainty score0.994

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)0.0070.000

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 head0.022
GPT teacher head0.261
Teacher spread0.240 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2018
Admission routes1
Has abstractyes

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