The evolving concept of health promotion: definitions, outcomes and classification of interventions
Bibliographic record
Abstract
The concept of health promotion was evolving from 70ies of 20th century in response to calls for increasing the effectiveness of measures undertaken for the improvement of health of individuals and societies.Although, a classical definition of health promotion was formulated in Ottawa Charter in 1986, the perception of this domain may still vary depending on different authors and organizations.This paper brings some basis insights on approaches to systematising available definitions of health promotion as well as to classifying its interventions.Furthermore, the outcome model of health promotion is described in order to better reflect the relation between interventions undertaken under the umbrella of health promotion and possible short-and long-term results.Finally, the definitions of various levels of disease prevention are proposed and the discussion of similarities and differences between health promotion and disease prevention is included.The paper was developed with the intention of formulating theoretical basis for analysis of available evidence on effectiveness of health promotion and disease prevention interventions addressed to elderly audience.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".