Crisis Brings Innovative Strategies: Collaborative Empathic Teleintervention for Children with Disabilities during the COVID-19 Lockdown
Bibliographic record
Abstract
Background: While coronavirus disease 2019 (COVID-19) continues to spread across the globe, public health strategies—including the social distancing measures that many countries have implemented— have caused disruptions to daily routines. For children with disabilities and their families, such measures mean a lack of access to the resources they usually have through schools and habilitation or rehabilitation services. Health emergencies, like the current COVID-19 pandemic, require innovative strategies to ensure continuity of care. The objective of this perspective paper is to propose the adoption of two innovative strategies for teleintervention. Methods: The novel strategies include: (1) to apply the principles of the Routines-Based Model beyond the early years of development, and (2) to adopt My Abilities First—which is a novel educational tool promoting an abilities-oriented approach in healthcare encounters. Results: In the context of COVID-19, and using accessible language, the content of the paper highlights what is important for families and individuals with disabilities, and how the proposed novel strategies could be useful delivering remote support. Conclusions: The principles of the Routines-Based Model and My Abilities First are universal and facilitate collaborative, empathic, family-centered teleintervention for children and youth with disabilities during and post the COVID-19 lockdown.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".