A Conceptual Framework: Creating Socially Just Schools for Students with Emotional and Behavioral Disabilities
Bibliographic record
Abstract
Students with emotional and behavioral disabilities (EBD) are among the most marginalized group of students in ourschools. In essence, students with EBD are often denied their civil right to a free and appropriate public education(FAPE) which is a social justice issue. Teachers who become social justice allies are more likely to create a sociallyjust school when they promote the implementation of multi-tiered systems of support (MTSS) throughevidence-based practices (EBP) for positive behavior interventions and supports through a social justice lens.Implementing these interventions while being social justice allies in socially just schools offer the best opportunityfor students with EBD to receive an equitable and socially just education in schools thereby achieving social justiceregarding their civil right to a FAPE.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.012 | 0.042 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".