Changes in the perception of school climate and self-identified race in two Toronto cohorts
Bibliographic record
Abstract
Drawing on Toronto District School Board (TDSB) Student Census data (2006 and 2011), we examine if there have been changes in the perceptions of school climate between two cohorts of high school students. First, we contextualize our study and review relevant policy changes to student inclusion and equity to set the stages for examining, by way of a sort of “natural experiment”, to see if there was a change in the perception of school climate by students after these policy changes occurred. We then review the scholarship on school climate, its relationship to race, and its relationships to educational experiences and outcomes. We then examine how self-identified race is associated with students’ perceptions of school climate in both cohorts, interpreting our results within a Critical Policy Analysis framework. We find evidence of improved school climate from 2003 to 2008, although the changes have not been uniform by self-identified race, and in some cases have worsened, particularly for self-identified Black and Latin American students.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".