PHYSICAL ASSESSMENT OF THE CANADIAN STEWARDSHIP PROGRAMS ON EMPTY PLASTIC BEVERAGE CONTAINERS IN SASKATCHEWAN AND ALBERTA PROVINCES
Bibliographic record
Abstract
Stewardship programs are gradually being phased out in favor of Extended Producer Responsibility (EPR) schemes, which are used in various forms in different Canadian provinces. An example is the British Columbia province's EPR program on empty plastic beverage containers. Provinces like Saskatchewan and Alberta, on the other hand, continue to rely on stewardship programs and are in the process of incorporating the EPR policy as a program into their waste management regulations. Therefore, this study will discuss how stewardship program policies have helped to solve a portion of the plastic waste problem; however, negotiations to fully integrate the EPR program into Saskatchewan and Alberta waste management policies are still ongoing. The significance of this study has demonstrated how stewardship programs in Saskatchewan and Alberta have promoted the reuse and recycling economy of plastic management to a limited extent in these respective provinces. A case study method was used to analyze and investigate the stewardship program, with a focus on plastic bottle management. Field observations were conducted at selected recycling companies (Sarcan recycling and Alberta beverage container recycling corporation) in Saskatchewan and Alberta to correlate the data gathered during the investigation, as presented in this research outcome. Implementing the EPR program, according to the study's findings, may be the most effective way for Canada to achieve a circular economy of plastic waste management.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".