Understanding the challenges of intersectoral action in public health through a case study of early childhood programmes and services
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
After two decades of intersectoral public health action, the literature reports considerable ongoing difficulty in achieving this aim. This article analyses two of the challenges of intersectoral action: (1) ensuring convergence among the interests and resources of sectoral actors, and (2) coordinating the multiplicity of sectoral programmes. A case study employing Actor–Network Theory is used to provide an in-depth understanding of the persistence of these problems. In 2008, the Montreal Directorate of Public Health in the province of Quebec, Canada, implemented a vast consultation and mobilization process to address problems highlighted by the Survey of the School Readiness of Montreal Children. The process mobilized regional and local multi-sectoral actors in order to propose solutions. At the local community level, the process resulted in increased coordination leading to intersectoral innovation, while at the regional level it brought about the deployment of additional resources, albeit in sectoral programmes. This study analyses how intersectoral issues raised by the survey have been addressed so as to produce these results. It discusses how the balance between sectoral interests and the common good, as well as between sector autonomy and interdependence, is central to dealing with these two critical challenges.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it