Ostacoli al cammino della Prevenzione Basata su Prove di Efficacia - Obstacles which have hampered the progress of Evidence Based Prevention (EBP)
Bibliographic record
Abstract
Molti anni sono trascorsi da quando nell nel 1992 Gordon Guyatt e un qualificato gruppo di suoi colleghi dell'Università McMaster di Hamilton in Ontario coniarono il nuovo termine di Evidence Based Medicine. Il campo della prevenzione primaria, tuttavia, è stato posto al centro del dibattito sulle prove di efficacia degli interventi solo dopo la metà degli anni novanta, grazie soprattutto all'iniziativa nota col nome di "The Community Guide", nell'ambito dei CDC di Atlanta negli Stati Uniti. A rendere difficile il cammino della Prevenzione Basata su Prove di Efficacia (Evidence Based Prevention - EBP) sono stati diversi ostacoli che qui brevemente cerchiamo di descrivere.
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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 | 0.124 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".