Bibliographic record
Abstract
Imagination and idealism are particularly important creative epistemic virtues for the medical sciences if we hope to improve the health of the world's ageing population. To date, imagination and idealism within the medical sciences have been dominated by a paradigm of disease control, a paradigm which has realised significant, but also limited, success. Disease control proved particularly successful in mitigating the early-life mortality risks from infectious diseases, but it has proved less successful when applied to the chronic diseases of late life (like cancer). The time is ripe for the emergence and prominence of a supplementary medical research paradigm, the paradigm of 'healthy ageing' which prioritises the goal of rate (of ageing) control rather than disease control. This is the difference between extending the human healthspan versus extending survival by managing (or trying to eliminate) the multi-morbidities, frailty and disability currently prevalent in late life. The idealism of the disease control paradigm is myopic because it ignores the health constraints imposed by the inborn ageing process itself, a biological reality which is already inflicting significant economic and disease burdens on the world's ageing populations. Unless the medical sciences retard the rate of biological ageing, these problems will continue to be amplified as larger numbers of persons survive into late life.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.093 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".