Will a change in special needs funding improve inclusive education in Manitoba?
Bibliographic record
Abstract
The department of education in the province of Manitoba has recently changed the way in which schools are funded to assist in meeting the needs of students who live with special needs. The change was the result of a task force that examined different funding models and made recommendations to the Minister of Education in November 2015. The change was deemed necessary because the application based system was detrimental to the inclusive education movement that the province has been promoting for several years. Labelling students and viewing them through a deficit model goes against inclusion and the Task Force felt this practice must change. Six student services administrators from across the province were interviewed to glean insight as to how some school divisions in Manitoba were reacting to the change in special needs funding and if there is potential to improve inclusive education in the province. Comparing the findings of this study to the literature about inclusive education it was determined that a change in funding by itself will not improve inclusive education in the province, but rather school divisions might consider using this change in funding as an opportunity to examine their own practices and begin the work of creating more inclusive schools for all.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".