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Record W4280538578 · doi:10.1186/s12919-022-00232-z

Proceedings of the BC Summit on Navigation for Children and Youth with Neurodevelopmental Differences, Disabilities, and Special Needs

2022· article· en· W4280538578 on OpenAlexafffund
Emily Gardiner, Vivian Wong, Anton R. Miller

Bibliographic record

VenueBMC Proceedings · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsSunny Hill Health Centre for ChildrenBC Children's HospitalUniversity of British Columbia
FundersKids Brain Health NetworkSunny Hill FoundationAzrieli FoundationBC Children's Hospital
KeywordsSummitContext (archaeology)Government (linguistics)Service (business)MedicineService providerSpecial needsSocial workMedical educationNursingPublic relationsPsychiatryPolitical scienceCartography

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.270
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes2
Has abstractyes

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