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Record W7057129968

The Impact of the United Nation’s Convention on the Rights of the Child on Environmental Justice: A Comparative Policy Analysis

2025· article· en· W7057129968 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks @ The University of New Orleans (The University of New Orleans) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Environmental justiceConventionConvention on the Rights of the ChildEnvironmental policyEconomic JusticeHuman rights
DOInot available

Abstract

fetched live from OpenAlex

Children are the most vulnerable to environmental harms due to their developing stages, heightened health risks, and dependence on adults, despite contributing the least to environmental damage. While children are increasingly in environmental justice frameworks, their rights remain underrepresented in environmental governance. This study explores the potential of the United Nations Convention on the Rights of the Child (UNCRC) and General Comment No. 26 (GC26) to advance child-centered environmental protections. Through a comparative analysis of Canada, New Zealand, and the U.S., this study examines how countries have (or fail to) incorporate the UNCRC and GC26 into legal systems, national legislation, and children’s participation in national environmental governance. This study finds that even ratifying nations have underutilized the UNCRC and guidance from GC26, highlighting the limited enforceability of the UNCRC and the need for stronger national incorporation. This study contributes to global environmental justice discourse by exploring how children’s rights can advance intergenerational equity and offers recommendations for future research and policy development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

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