Examining potential business impacts from the implementation of an extended producer responsibility program for printed paper and packaging waste in Nova Scotia, Canada
Bibliographic record
Abstract
Mismanagement of recyclable materials contributes to an inefficient economy and demands use of more raw resources, while wasting valuable secondary resources in the process. Historically, the onus for coordinating recycling programs has fallen onto taxpayers and governments, which requires significant capital financing and labour for solid waste management. Large volumes of packaging and printed paper (PPP) materials in the marketplace has municipalities, including in the Atlantic Canadian province of Nova Scotia, shouldering the burden of residential recycling programs that are increasingly costly to the administer. A waste management approach known as the extended producer responsibility (EPR) principle leverages financial resources of producers to fund the recycling of their products. Several EPR for PPP programs already exist across Canada, and efforts are underway by local governments across Nova Scotia to pursue EPR for PPP. This research examined potential impacts of EPR for PPP on Nova Scotia's business community, comprised of many small enterprises. Through a combination of literature review, classification of national steward data, and analysis of provincial business data, findings show that a small subset of industries are most impacted by EPR for PPP across Canada, and higher grossing businesses are required to fund EPR for PPP, and less so small, local enterprises. Analysis revealed that only 8.3% of all businesses operating within Nova Scotia would likely become obligated stewards in the province's proposed program. Lastly, recommendations are proposed to both reduce detrimental impacts on provincial businesses, and to gain the maximal benefits of EPR for PPP for improved recycling systems. Recommendations focussed on fair exemption conditions appropriate to the local region, harmonization of EPR for PPP across Atlantic Canada, developing material specific fees, and investments in local recycling end-markets.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".