Associations, unions and everything in between: contextualising the role of representative health worker organisations in policy
Bibliographic record
Abstract
Associations, unions and other organised groups representing health workers play a significant role in the development, adoption and implementation of health policy. These representative health worker organisations (RHWOs) are a key interface between employers, governments and their members (both actual and claimed), with varying degrees of influence and authority within and across countries. Existing research in global health often assumes-rather than investigates-the roles played by RHWOs in policy processes and lacks analytical specificity regarding the definitional characteristics of RHWOs. In this article, we seek to expand and complicate conceptualisations of RHWOs as key actors in global health by unpacking the heterogeneity of RHWOs and their roles in policy processes and by situating RHWOs in context. First, we define RHWOs, present a typology of RHWO dimensions and discuss perceived legitimacy of RHWOs as policy actors. Next, we unpack the roles of RHWOs in policy processes and distinguish RHWO roles in regulation from those of regulatory agencies. The final sections situate RHWOs in political and labour relations contexts, and in sociohistorical contexts, with attention to institutional frameworks, professional hierarchies and intersectional factors such as race, gender, sexuality, class, caste and religion. We conclude by outlining research gaps in the study of RHWOs and policy, and by encouraging global health researchers and practitioners to incorporate an expanded focus on these actors. Taking this approach will generate a wider range of strategies to better engage these organisations in policy processes and will ensure stronger health workforce policies globally.
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.
How this classification was reachedexpand
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".