Children with Acquired Brain Injury: A Silent Voice in the Ontario School System.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The leading cause of death and injuries in school age children is acquired brain injury (Savage & Wolcott, 1994). Each year approximately 1 in 450 school age children and 1 in 200 adolescents/young adults suffer an injury as a result of some form of acquired brain injury. Approximately 27,000 students in the Ontario school system have acquired brain injury (Segalowitz & Brown, 1991). For these students accessing support services for educational purposes can be a challenge. Within the province of Ontario, there currently exist five categories within which students can be identified as exceptional, however acquired brain injury is not included within these five. Furthermore, regular classroom teachers are rarely provided with any training at either the preservice level or at the practicing level that addresses the educational need of children with acquired brain injury. Therefore, children with acquired brain injury are usually poorly identified and understood in the educational system leading to inadequate supports and programming for both the student and the teacher. The aim of this paper is to highlight the difficulties such students have and to suggest solutions to improve the quality of education provided for these students. Language: en
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.
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 | 0.000 | 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) | 0.001 | 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 it