Promoting environmentally responsible health care.
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
Dioxins, polyvinyl chloride and di(2-ethylhexyl) phthalate are the three main toxins interfering with the goal to maintain a healthy environment, according to the international organization Health Care Without Harm (2004). Exposure to these chemicals has been linked to cancer, as well as reproductive, cardiac, hepatic and developmental disorders (Tickner, Schettler, Guidotti, McCally, and Rossi, 2001). Health-care clients are potentially exposed to these toxins every day: polyvinyl chloride equipment, such as i.v. bags and tubing, is widely used in hospitals, and medical incineration practices emit dioxins into the air (Chlorine Chemistry Council, 2006). Nurses are uniquely positioned to play an active role in environmentally responsible health care through education, advocacy and the implementation of measures to reduce medical wastage and exposure to these chemical toxins (Canadian Nurses Association, 2005).
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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