Theorizing healthy settings: a critical discussion with reference to Healthy Universities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: The settings approach appreciates that health determinants operate in settings of everyday life. Whilst subject to conceptual development, we argue that the approach lacks a clear and coherent theoretical framework to steer policy, practice and research. AIMS: To identify what theories and conceptual models have been used in relation to the implementation and evaluation of Healthy Universities. METHODS: A scoping literature review was undertaken between 2010 and 2013, identifying 26 papers that met inclusion criteria. FINDINGS: Seven theoretical perspectives or conceptual frameworks were identified: the Ottawa Charter; a socio-ecological approach (which implicitly drew on sociological theories concerning structure and agency); salutogenesis; systems thinking; whole system change; organizational development; and a framework proposed by Dooris. These were used to address interrelated questions on the nature of a setting, how health is created in a setting, why the settings approach is a useful means of promoting health, and how health promotion can be introduced into and embedded within a setting. CONCLUSIONS: Although distinctive, the example of healthy universities drew on common theoretical perspectives that have infused the settings discourse more generally this engagement with theory was at times well-developed and at other times a passing reference the paper concludes by pointing to other theories that offer value to healthy settings practice and research and by arguing that theorization has a key role to play in understanding the complexity of settings and guiding the planning, implementation and evaluation of programmes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it