Public-private partnership in recycling: an evaluation of its climate change impact reduction benefits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
One of the global environmental concern today is the potential climate change of our economic activities. Appropriately addressing the concern require the collective effort of all the stakeholders. This study analyzed a case of public-private collaboration that facilitates paint recycling in Alberta and the attendant climate change impact reduction benefits. The study approach involved literature search, conversation with partners, and lifecycle analysis of data collected from a corporate organization involved in the partnership. Results from the study showed that the paint recycling partnership provides a net monthly environmental benefit of reducing the potential climate change impact by 8,841.11 kg CO2-eq. It also resulted in the diversion of about 25% of paint containers and plastics from the landfills. The public private partnership in recycling provided synergetic economic and environmental benefits for the participating municipalities and the corporate organization involved in the project.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it