Dimensions of Proximity: An Actionable Framework to Better Understand Integrated Practices in Cancer Networks
Bibliographic record
Abstract
Introduction: This study empirically explores how dimensions of proximity that support integrated care emerge from deliberate actions within a cancer network in Quebec (Canada). Methods: We conduct a supplementary analysis of qualitative data from a primary multi-case study focused on collaborative governance and cancer care integration. Data from semi-structured interviews, documents and observation are analysed to find out how relationships take shape through actions that create different dimensions of proximity, and how these contribute to integrated practices. Results: Deliberate actions at different levels within the network create dimensions of proximity. The creation of committees and communities of practice at national and local level establish geographic proximity. Relational proximity among actors emerges to different degrees in these venues. Cognitive proximity is generated by consistent promotion of the national cancer plan and person-centred care. The priority of cancer care at policy level and prescription of common standards enhance organizational proximity. Synergy between dimensions of proximity appears essential to the emergence of integrated practices. Insufficient efforts to create technological and institutional proximity contribute to inconsistent clinical and professional integration. Conclusion: The concept of proximity appears a promising complement to existing models of integration, especially in complex contexts such as cancer networks. Highlights: Deliberate actions at different levels within the cancer network create a number of dimensions of proximityGeographic proximity, be it objective or subjective, facilitates relational, cognitive and institutional proximityA national cancer plan sustained by shared leadership enhances organizational proximity, facilitating integrated practicesActivation of different dimensions of proximity among network actors likely underpins and sustains functional, normative and organizational integrationInsufficient efforts to create technological and institutional proximity contribute to inconsistent clinical and professional integrationThe multiple dimensions of proximity appear a promising complement to existing models of integration, especially in complex contexts such as cancer networks.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".