Proceedings of the BC Summit on Navigation for Children and Youth with Neurodevelopmental Differences, Disabilities, and Special Needs
Bibliographic record
Abstract
Patient navigation (PN) represents a branch of service delivery traditionally aimed at coordinating disjointed care services for patients with particular health conditions (e.g., cancer, HIV, diabetes). Over time, this approach has been extended to various social and health contexts, including most recently to children with neurodisability and their families. In this context, PN involves the provision of information, advice, education, and emotional support, coordination of services both within and across sectors, and the work is guided by person- and family-centred principles of practice. This manuscript documents the proceedings of the BC Summit on Navigation for Children and Youth with Neurodevelopmental Differences, Disabilities, and Special Needs, which took place on January 18 and 19, 2021 and was developed in collaboration with a Provincial Advisory Group. Our Summit brought together over 120 individuals, including researchers, government personnel, service providers, educators, healthcare workers, and family advocates. As part of the event, attendees learned from families with lived experience navigating the British Columbian (BC) service system, from BC Children's Hospital Research Institute investigators, and from exemplar providers who deliver navigation services in various contexts (e.g., locally, regionally, and provincially). Attendees also participated in various engagement opportunities, and collaboratively identified directions for developing a future community of navigation and related services in BC.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".