Out with the Old: A Conversation about Canada’s Dated Special Education System
Bibliographic record
Abstract
Canada’s education system is constantly evolving, with changes being made to policy and procedure on a consis- tent basis in order to accommodate for the growth of societal knowledge. Particularly, as society begins to accept a more intersectional framework, our education system should begin to reflect these changes. Special education classrooms are still a fairly common practice in the Canadian education system. The onset of special education was a response to the lack of education that was occurring for those with disabilities (Nor- wich, 2014). Shifts in ideology from institutionalization to special needs classrooms was initially beneficial to people with disabilities as it encouraged attendance in schools, as iter- ated by Dunlap the CEO of KIT (Kids Included Together) – an organization that offers free inclusion training (2015). Grad- ually, testing for various disabilities within primary schools increased and the label of “disabled” was embraced by the North American Education System. This naturally benefitted those within this community, as accommodations and indi- vidualized education plans were created. Conclusively, the onset of this model of education increased accessibility to education and intrinsically offered young students a concrete social identity, much like a sense of belonging to a minority group (Lauchlan & Boyle, 2007).
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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 | 0.000 | 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".