Analysis of standards and certification protocols for verifying recycled content in plastic products
Bibliographic record
Abstract
This study focused on analyzing and evaluating existing and in development regulations, in anticipation for the launch of the Extended Producer Responsibility (EPR) regulation in Alberta and looks at the lack of harmonization around plastic recycling in Canada, and the way that reciChain can support with compliance to those regulations. It also included the evaluation of the EPR considerations in different provinces in Canada, the study cases that could be relevant for the development of reciChain and how OECD countries are managing their plastic waste. These aspects were essential to answer the research question: how does reciChain fit within existing and in development North American and international standards and certification protocols for verifying recycled content in plastic products, and how it can support with the implementation of effective certification programs? It is important to consider that only 6% of plastics are recycled in Canada, and 85% of the plastic waste generated annually ends up in landfills.
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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 | 0.108 | 0.138 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".