The Development of a Canadian Instrument for Measuring Student Views of Their Inclusive School Environment in a Rural Context: The Student Perceptions of Inclusion in Rural Canada (SPIRC) Scale.
Bibliographic record
Abstract
This paper, the first in a series on inclusive education in a rural Canadian school district, reports an attempt to develop a succinct, common cross-age scale to measure student views on important school-related aspects of inclusive education. A lengthy scale, previously developed for use in a different study, was administered to 855 children in Grades One to Twelve in a school district in rural Alberta, Canada. A succinct 12-item scale was produced, addressing four of five conceptual areas thought to be important to inclusive education from a student’s perspective, and within the Canadian educational context. This scale has been named the Student Perceptions of Inclusion in Rural Canada (SPIRC) scale. Future areas of study include the addition of a component addressing sentiments towards disability and inclusion in the newly refined scale.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".