Exploring the continuum: medical information to effective clinical practice*. Paper II. Towards aetiology‐centred clinical practice
Bibliographic record
Abstract
Contemporary clinical practice increasingly functions within a disease management paradigm aimed at finding and implementing therapeutic interventions that demonstrate efficacy in clinical trials. Disease prevention, elucidation of illness aetiology and proactive health promotion have taken a back seat. Current clinical care often includes a 'fast-food' type of medical encounter, which frequently neglects disease causality. The medical community is presently challenged by unique administrative and professional adversities as well as undue commercial influence; these factors contribute to a lethargic response to escalating rates of chronic illness and to mainstream medicine's relative inattention to emerging research about disease aetiology. Individual medical practitioners and the medical establishment must strategically seek to advance patient health and maintain professional relevancy by a renewed emphasis on the following principles: patient-based clinical care, aetiology-centred medicine, and proactive health promotion.
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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 | 0.084 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.008 | 0.059 |
| Scholarly communication | 0.035 | 0.047 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.014 | 0.014 |
| Insufficient payload (model declined to judge) | 0.012 | 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".