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Record W4404188754 · doi:10.1111/polp.12642

A paradox of public engagement: The discursive politics of environmental justice in Canada's Chemical Valley

2024· article· en· W4404188754 on OpenAlexaffabout
Sarah Wiebe

Bibliographic record

VenuePolitics &amp Policy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPoliticsEnvironmental justicePublic engagementPublic discourseEconomic JusticePolitical scienceEnvironmental politicsSociologyEnvironmental ethicsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract For over a decade, members of the Aamjiwnaang Nation have continued to fight for the recognition and redress of their unique environmental health concerns in a region known as Canada's Chemical Valley. From a critical policy studies lens, this article addresses the discursive policy challenges faced by those who are most affected by the toxic policy assemblage of enduring pollution exposure. In response to the research question: how can the voices and lived experiences of those living in pollution hotspots like Chemical Valley contribute to the theory and practice of environmental justice, this article draws upon findings from extensive field‐work in the surrounding region of Lambton County as well as policy advocacy including participation in Senate of Canada hearings. This analysis examines how the omission of community‐based knowledge and expertise reproduces inequities. The article concludes with strategies for improved environmental justice and lessons learned for policy justice in Canada and beyond. Related Articles Al‐Kohlani, Sumaia A., Heather E. Campbell, and Stephen Omar El‐Khatib. 2023. “Minority Faith and Environmental Justice.” Politics & Policy 51(6): 1069–96. https://doi.org/10.1111/polp.12564 . Ash, John. 2010. “New Nuclear Energy, Risk, and Justice: Regulatory Strategies for an Era of Limited Trust.” Politics & Policy 38(2): 255–84. https://doi.org/10.1111/j.1747‐1346.2010.00237.x . Dilmaghani, Maryam, and Jeremy Dias. 2023. “In or Out? Citizenship Outcomes of Working Sexual and Gender Minority People of Canada.” Politics & Policy 51(5): 868–97. https://doi.org/10.1111/polp.12557 .

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.546

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.327
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2024
Admission routes2
Has abstractyes

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