Competing narratives inhibit a circular economy for bio‐based plastic packaging: Insights from a social innovation lab study in Brazil, Canada, Poland and the UK
Bibliographic record
Abstract
Abstract Businesses are turning to bio‐based, compostable plastic packaging as a circular economy solution to global plastic pollution. However, there is a lack of proper waste management systems for collection and processing. Through an international research initiative, a social innovation lab was undertaken in Brazil, Canada, Poland and the United Kingdom to understand and address key barriers in closing the bio‐based plastic packaging loop. Based upon a qualitative data set of 100 stakeholder interviews and three phases of workshop activities in each country, a grounded model was generated to illustrate how competing views and actions are inhibiting a circular system for bio‐based plastic packaging. Key issues were the lack of end‐of‐life processing infrastructure, contamination in processing facilities and absent or ineffective regulation. A systemic approach that includes shared responsibility for infrastructure, simplified packaging design and materials and equitable regulation to reduce susceptibility to greenwashing can improve collaboration to meet circular goals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".