Leadership for a climate resilient, net-zero health system: Transforming supply chains to the circular economy
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
The global pandemic has taught us that we can focus the attention of the healthcare system on a clear intention when there is a looming threat. Climate action is required from multiple stakeholders particularly private sector suppliers in order to achieve the net-zero carbon emission by 2050 goal established by the Canadian government. Also building climate resilience among healthcare institutions and their supply chains is urgently needed, as they are already affected by a changing climate. By adopting a circular economy framework, the industry can move away from the current damaging take, make waste economic model and adopt a more sustainable model characterized by designing out waste and pollution, keeping products and materials in use, and regenerating natural systems. Health leaders can adopt sharing platforms, view product as a service, reduce single use products, encourage extended producer responsibility, and encourage value-based procurement in order to further these aims.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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 it