Bibliographic record
Abstract
Inclusionary practlces prescrlbe that children, regardless of except lonal1ty shall benefit from recelving educat lonal servlce 1n the context of the regular class setting. The resulting el1mlnatlon of separate speclal classes could be v1ewed as aneconom1c advantage. In po1nt of fact, many school boards and d1strlcts 1n both Canada and the Unlted States are movlng towards 1mplementatlon of lncluslonary practice, posslbly for the above stated reason. Regardless, 1ncluslon as It relates to the emot1onal1y/behav1ourally disordered youth in our school systems may not be successful. Regular education teachers may not be prepared professlonal1y or personally to deal wlth this very spec1al student populat1on. Th1s study focused on teacher attitude 1n thls regard. As well l poss1ble factors that may lead to successful 1nclusion of these students are examined. Of these, teacher exper1ence, educat10n spec1f1c to the
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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 | 0.000 | 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) | 0.012 | 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".