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
Abstract The One Health concept has been invoked to foster collaborations at the intersection of human, animal, and environmental health to address zoonotic disease risk. But the One Health concept is also helpful in framing and addressing the public health imperative to prevent and delay the onset of the chronic diseases of late life, to extend healthy life expectancy in ways that are sustainable and beneficial to animal and environmental health. This is an urgent global health imperative because healthy life expectancy is not increasing at the same pace as life expectancy, leading to more years being lived in poor health. Invoking once again Herter’s account of the role of imagination and idealism in medical science and his distinction between humanitarian and experimental science, this chapter advances the Geroscience Perspective on One Health, a framework that draws attention to the interdependence of healthy human aging and animal and environmental health by emphasizing the importance of pursuing nonpharmacological (environmental and lifestyle) and potential pharmacological (gerotherapeutics) interventions to increase healthspan. The book concludes by addressing the geroconservative concern that the experimental arm of rate control represents a type of moral hazard to the One Health concept.
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 | 0.000 | 0.001 |
| 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