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Record W4411664936 · doi:10.1017/plc.2025.10012

Indigenous rights, knowledge, and participation in the global plastics treaty

2025· article· en· W4411664936 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge Prisms Plastics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMcGill University
Fundersnot available
KeywordsIndigenousTreatyTraditional knowledgePolitical scienceIndigenous rightsHuman rightsEnvironmental ethicsLawEcology

Abstract

fetched live from OpenAlex

Abstract Indigenous Peoples are disproportionately impacted at every stage of the plastic lifecycle, from the extraction of the fossil fuel feedstock and plastic production, to the widespread dispersal of maco-, micro- and nanoplastics in the natural environment. They face many barriers to their participation in UN processes and must constantly push for their rights to be upheld and for their full and effective participation to be secured. This constant basic struggle for Indigenous rights and participation can consume all the energy and efforts of Indigenous delegates in UN processes at the expense of all the other important knowledge and messages they carry from their communities and nations to address the very real and serious harms that have been inflicted on their territories and all the life within it. Negotiators at INC-5.2 have a great responsibility to address this serious global crisis, while being reminded that Indigenous Peoples, who are on the frontlines of the plastic pollution crisis, must be equal participants as experts of their own knowledge and science and participate in the process as rightsholders in all decision-making that affects them.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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