Adapting educational speech-language pathology services during a pandemic
Bibliographic record
Abstract
Background: Hanen Programs® have a research-based history of helping parents learn to support the oral language, social communication, and literacy development of their young children. Programs are delivered by Hanen-certified speech-language pathologists, usually in preschool speech and language centers. The global COVID-19 pandemic that began in March 2020 required school-based clinicians to adjust their professional practices to meet the needs of students during disruptive school years. Method: This clinical case study describes the two-year project launched to incorporate Hanen Programs® through telepractice, and discusses the feasibility of offering them as part of a continuum of services at the Toronto District School Board in Toronto, Ontario Canada. Results: Favorable responses from stakeholders led to the expansion of the project. Attrition rate and staff allocation were found to be problematic. Discussion/conclusion: Reasons for the high attrition rate were explored, and a response plan was developed. Additional training for interested staff members was scheduled. Ongoing monitoring is needed to determine the long-term feasibility of offering Hanen Programs® in a school board setting.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".