Pathways to health, illness and well‐being: from the perspective of power and control
Bibliographic record
Abstract
Abstract This article introduces the special issue entitled ‘Power, Control and Health’. The five articles in this issue, using qualitative observation and theory‐building, deconstruct individualistic explanations of the roles of power, empowerment, control, self‐efficacy, etc. in producing health and well‐being outcomes, and reconstruct models and pathways to population health and well‐being that are profoundly anchored in the social, economic and political dimensions of human life which create, structure, and reinforce power and powerlessness at individual and collective levels. The theory developed here contributes to the understanding of how population health and well‐being are intimately related to and are consequences of power and powerlessness. This is the first published collection addressing the etiology of population health from the perspective of power and powerlessness; as such it not only advances knowledge about the determinants of population health, but provides a more scientific basis for interventions aimed at ‘empowering’ marginalized persons and classes of persons. The topics dealt with include a deconstruction of self‐efficacy theory and the ‘socialization’ of that concept, a model concerned with work and work stress for pathways to health and illness emphasizing class and gender, reflections on the meaning of empowerment in the prevention of unsafe sex practices, a study of empowerment and recovery in the context of changes in a community mental health system, and a systemic model based on the lifecourse perspective for child wellness and resilience centred around power and control. Those articles are followed by a commentary which stresses the need to ‘depsychologize’ community psychology, noting that even the articles in this special issue retain notable vestiges of reductionism to the individual level. This introduction describes the evolution of the public health field into the ‘population health field’ and the pertinence of a focus on power for understanding pathways to health, illness and well‐being. Copyright © 2001 John Wiley & Sons, Ltd.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 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".