The Allegory of "Navigation" as a Concept of Care: The Case of Child Neurodevelopmental Disabilities
Bibliographic record
Abstract
Navigation encompasses a defined range of care concepts and practices, services and professions while also alluding to a broader set of care values, needs, and challenges associated with health inequities, social exclusion, and service fragmentation. In this article, we address some of these challenges by exploring navigation as an allegory that conveys the process of making one’s way through a complex web of care. We briefly trace the history of this concept and revisit its emergence and development in the context of health and social care. Drawing on a targeted review of the literature on this topic, we anchor our discussion in the case study of navigation programs for children with neurodisabilities and their families in Canada. In conclusion, we call for a social ecological approach to navigation as a matter of care and concern that has salient relational and political dimensions warranting additional research attention and policy development.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.081 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.005 |
| 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".