Applying health determinants and dimensions in social work practice
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
Dimensions and determinants related to physical health, mental health and well-being can be used as tools in social work practice. These frameworks are useful for assessment, planning and intervention activities in complex client situations, alerting social workers to consider diverse features and processes that influence well-being in people's lives. They can be applied in social work with individuals, families, groups, and communities. In our view health and well-being need to be viewed holistically, broadly and in each unique situation, changing over time over the life course. Literature based on key word searches of concepts we use in our teaching and research and that has informed our conceptualisation of dimensions and determinants in physical health, mental health and well-being, is reviewed. A case illustration is presented to illustrate how the dimensions and determinants are used to inform practice and compare and apply alternative frameworks. Finally, the implications of these and other frameworks for social work, not only in health care settings, but also in other fields of social work practice, are discussed.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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