Distributive Leadership Within an Emerging Network of Integrated Youth Health Centres: A Case Study of Foundry
Bibliographic record
Abstract
BACKGROUND: , a network of integrated youth health centres in British Columbia, Canada, and explores the function and impact of distributive leadership in the context of a large-scale effort towards integrated service delivery for youth experiencing mental health and substance use challenges. METHODS: Qualitative data was obtained from a developmental evaluation of Foundry using a longitudinal, ethnographic approach. Over 150 participants involved in the development of six Foundry centres were interviewed individually or in focus groups. Purposive and theoretical sampling strategies were used to maximize the diversity of perspectives represented in the data set. RESULTS AND DISCUSSION: Distributive leadership was observed to be a facilitator for achieving service and system-level integration. Distributive leadership was effective in promoting streamlined service provision, and coordinating efforts towards optimized access to care. A new culture of leadership emerged through collaboration and relationship-building based on a common value system to prioritize youth needs. CONCLUSION: As Foundry, and other integrated youth services, continues to expand, distributive leadership shows promise in assuring diverse and coordinated input for integrating services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".