Standoff at the four-way stop sign: late-night diplomacy at the fourth session of negotiations (INC-4) on the global treaty to end plastic pollution
Bibliographic record
Abstract
Abstract Within the final session of negotiations inching forward, the United Nations (UN) Intergovernmental Negotiating Committee (INC) completed its fourth session of negotiations (out of five) on an international legally binding instrument (ILBI) to “end plastic pollution.” This paper examines the results of the fourth session of negotiations INC-4, which took place from April 23 to 29th, 2024, in Ottawa, Canada. In this perspective paper, we analyze the trends, barriers, and themes shaping the emerging treaty text. Progress towards consensus on financial mechanisms and waste management was prevalent. This paper is based on close participant observations and document analysis throughout the negotiations, it became apparent that nearly all of the core obligations of the treaty came into brackets, which means states do not agree on text. There was additional divergence when it came to the inclusion of the production side of plastics in the treaty. We conclude by looking towards the fifth and expected final session round of negotiations in Busan, South Korea, in December 2024 by discussing if and how the plastic treaty will be effective when the full life cycle starting from production is not taken into account.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".