Incorporating children’s voices in healthcare: adopt <i>My Abilities First</i> in your practice
Bibliographic record
Abstract
Abstract Current health data reveal that children’s voices often remain invisible in healthcare encounters. Incorporating voices of children and youth with chronic health conditions and/or disabilities in a systematic way will enhance and complement current health data. My Abilities First is an approach that invites children and youth with chronic health conditions and/or disabilities to describe themselves using their preferred way of communication. Importantly, including the preferences, opinions and abilities of children and youth in their clinical care promotes autonomy, dignity and respect in a human rights-based approach. My Abilities First facilitates participatory decision-making processes, ultimately expediting positive change in healthcare, bringing joy, shared purpose, empowerment and proximity in clinical care.
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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 | 0.032 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".