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
BACKGROUND: Climate change around the globe is impacting human and planetary health at unprecedented rates. Nurses are well positioned to act as climate leaders, given their critical role globally. PROBLEM: Current and future nurses must work to mitigate climate-related health effects. It is necessary that a planetary health approach is integrated into nursing education. APPROACH: Curricular modifications, using the Planetary Health Education Framework, are presented, which will promote awareness and understanding of climate health among future nurses. The framework is grounded in equity, which is well suited to nursing education, and can be readily adapted into current nursing curricula. OUTCOMES: Recommendations for nursing education are presented within the 5 domains of the framework. CONCLUSIONS: Future nurses are called on to be exemplary planetary health communicators, educators, advocates, and leaders. The Planetary Health Education Framework promotes nursing leadership in practice and in advocating for a climate-resistant future.
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 | 0.000 | 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) | 0.008 | 0.029 |
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