Bibliographic record
Abstract
There are two items in this issue–the first is a response to G.H. Brundtland's paper published in European Journal of Public Health , Volume 15(1). The second is on public health genetics. As a reflexion on Dr Brundtland's speech, I would like to stress the important role global partnerships can play in the struggle for equitable health improvement. Dr Brundtland's focus, reasonably, is on infectious diseases with an emphasis on HIV/AIDS and SARS. She puts much emphasis on the undoubted successes in 2003 in controlling SARS, but less emphasis on our shamefully slow response to HIV/AIDS. The real lesson from SARS is the appalling state of public health services in most countries, both wealthy and poor. The Canadian post-SARS experience has had a major effect; the lessons have been learnt and a new public health agency has been established. However, it remains to be seen whether other countries, notably China, will be able to make the long term investments needed to improve the public health infrastructure which was sorely tested by SARS. It is only in the last year that WHO has played a critical role in ensuring that treatment is more readily available for HIV/AIDS patients, though this remains an extremely …
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 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 | 0.040 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".