A scoping review of definitions and frameworks of intersectoral action
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
Intersectoral action is rooted in all health promotion activities because the determinants of health lie outside of the health sector. Despite the increasing use of these terms (intersectoral action, intersectoral action for health, intersectoral collaboration), often interchangeably, we noted a lack of consensus on their definitions and conceptualizations. The objective of this paper is to report the results of a scoping review of the use of definitions for a set of related terms as well as for conceptual frameworks, including the discussion of the evolution of those definitions and the sectors that use them. Finally, we propose a single definition for each term. We conducted a systematic search for documents published between January, 1960 and March, 2011 in English, French, Spanish and Portuguese. We retrieved 11 to 15 definitions per main term. Using a content analysis approach, an integrative conceptual definition was proposed for four main terms. Furthermore, in reviewing frameworks for potential use, we noted the lack of a comprehensive framework for intersectoral processes.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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