Enhancing Child Care for Children with Special Needs Through Technical Assistance
Bibliographic record
Abstract
Children with special needs often require additional supports in child care settings. The provision of technical assistance (TA) and consultation to child care teachers is an established method for addressing this need. This study expands on existing research by bringing the perspective of different adults (parents, technical assistance consultants, teachers, and child care center directors) together to better understand the experiences of all parties involved in TA cases for children between the ages of three and five. The concerns most frequently leading to the consultation were social-emotional-behavioral (50.5%), developmental (32.3%), medical (28.3%), and environmental risk (14%), and one quarter of parents reported that their child had more than one of these concerns. Parents’ evaluations of the outcomes of the consultation were predicted by the parent’s race, level of education, and whether they saw a behavioral concern as the initial reason for the consultation. Open-ended comments provided more insight into each group of adults’ experiences, some of which included frustration about feeling involved/included in the consultation (for parents) and parents’ not being involved in and/or engaged with the consultation (for other adults). The study’s findings emphasize the importance of all adults working as a team to ensure the best possible care for children with special needs.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".