The Overarching Concept of Salutogenesis in the Context of Health Care
Bibliographic record
Abstract
Abstract Two concepts that widely impact on our ways to work with health is health promotion and salutogenesis (For a quick overview of the concept of salutogenesis, read Lindström B. & Eriksson M. (2010). The Hitchhiker’s Guide to Salutogenesis. Folkhälsan Research Center). The concept of health promotion was voted for use by the participants of World Health Organization (WHO) general assembly in 1978. And after 8 years, the concept of health promotion was filled with content by the WHO meeting in Ottawa in 1986. Meanwhile, salutogenesis as a concept was constructed of the Israeli scientist Antonovsky during the 1970s. It can be said that both health promotion and salutogenesis grew out of a wanting to understand health development rather than understanding health as a variable tied to the presence or absence of disease developments. This chapter concentrates on discussing the use of the salutogenic framework on the understanding of health care situations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.015 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".