“I Think the Teachers Should Really Connect More With the Students”: The Influence of Systemic Racism, Inequity, School, and Community Violence on Connection for High School Students Who Are Suspended or Expelled
Bibliographic record
Abstract
The objective of this constructivist grounded theory study was to understand the experiences of students who have been disciplinarily excluded from school. Fifteen students (male, n = 11; Black, n = 10; having special education needs, n = 9) and 16 multidisciplinary staff in Ontario participated. Students experienced high rates of expanded adversities, including school and community violence, systemic racism and inequity. The importance of connection wove throughout the data; however, three themes were found to block connection: unacknowledged impact of adversity, a climate of fear, and the disproportionate impact of limited resources. Trauma-informed culturally attuned approaches that focus on the disproportionate impact of adversity and school discipline at the point of a disciplinary response, and throughout a student’s educational experience, are essential.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".