Improving access to services in neuro-developmental disability: proceedings of a national meeting to advance community capacity
Bibliographic record
Abstract
As part of a participatory project to advance navigational service delivery systems for children with neurodevelopmental disability (NDD) and their families, this paper addresses proceedings from a capacity-building conference in Vancouver, Canada. A total of 29 invited key stakeholders attended the meeting with the following aims: knowledge sharing amongst provincial/territorial regions advancing NDD navigation capacity; sustainable action-oriented knowledge exchange; and operationalizing next steps to build navigation resources across Canadian regions. Regional representation included multiple and inter-sectoral partners (e.g., not-for-profit organizations, government, education, health, researchers, etc.) strategically invited to address mutually-agreed upon regional challenges, where ideas for envisioning, planning and success could be developed for ultimate operationalization in three Canadian provinces and one territory based on need for building navigational service delivery systems in NDD.Advancements in navigational service delivery were shared by site leads in the four represented regions of the initiative: Alberta, British Columbia, Quebec, and Yukon. Each regional lead conveyed targeted accomplishments, priorities and issues in moving navigation forward. Identified successes comprised the development of trusting partnerships across agencies and sectors, innovation and connection among service/navigation organizations and leaders, and training advances. Struggles included insufficient regional clarity on guiding principles for navigation services, a lack of resources relative to family need for services, and insufficient infrastructural supports in regions. Based on key learnings within and across regional groups, plans for regional development were strategized and shared.
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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 | 0.012 | 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 | 0.022 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".