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
Waste diversion is fundamental to reducing the ecological footprint. Until 2012, waste generated by Muskoka Algonquin Healthcare (MAHC) was not incorporated into any formal waste diversion efforts. In 2012, the Reduce, Recycle, Waste Diversion Program was initiated. Support for the program was endorsed by the senior leadership team, staff, and the community, and incorporated into the strategic plan, which was instrumental in the program's success. The goal of the waste diversion program was to help MAHC work towards a sustainable future and make MAHC a leading hospital in making responsible environmental choices. By increasing the number of recycle stations at MAHC's two hospital sites and providing education and promotion on the importance of waste diversion, MAHC has been successful in reducing the amount of waste going to the landfill to a 48% level between 2012 and 2015. The following case study illustrates and discusses MAHC's successful waste diversion efforts.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it