E-health and the Universitas 21 organization: 3. Global policy
Bibliographic record
Abstract
There is an urgent need to develop global e-health policy in order both to facilitate and to manage the potential of e-health. As part of the Universitas 21 (U21) project in e-health, an evaluation of the status of global e-health policy was performed using a SWOT analysis (strengths, weaknesses, opportunities and threats). The analysis showed that the greatest threat to global e-health policy is the autonomous nature of domestic health-care systems. The greatest opportunity may be the prospect for nations and individuals to work together in establishing mechanisms necessary to offer health-care access through global e-health--a new 'global public good'. Full integration of e-health into existing health-care systems could be achieved in both a practical and a policy sense through global e-health policy initiatives that facilitate integration across jurisdictions. There is a pressing need to resolve a range of e-health policy issues, and a concomitant need for research that will inform and support the process. A process that adopts a global approach is recommended.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.014 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".