The Characteristics and Experiences of CanadianStudents Receiving Special Education Services fora Learning Disability
Bibliographic record
Abstract
This article provides a description of the demographic characteristics as well as the social and academic experiences of a nationally representative sample of Canadian students receiving special education services for a learning disability (LD) and a comparison group without disabilities (NLD). Data summarized in this article were drawn from the National Longitudinal Survey of Children and Youth (NLSCY), which contains information provided by teachers, parents, and students. Results indicate that the demographic characteristics of the LD group are similar to the NLD group. As well, no signifi cant differences were found between the self-reports of children in the LD and NLD groups regarding school and social experiences. However, differences exist in teachers’ perceptions of students’ educational potential, social skills, and motivation. The findings inform school efforts focused on reducing the drop-out rate of students with LD. Other implications for practice as wellas for future research are discussed.
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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 | 0.002 | 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 | 0.001 |
| 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 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".