How Black and Working Class Children Are Deprived of Basic Education in Canada
Bibliographic record
Abstract
This book is the culmination of twenty-four years of research. It explores the thematic intersections of race, class, immigration, and the potential of building student-centered classrooms. Of course, the building of a truly student-centered is itself a slow and contested process. Over the years, progressive changes towards more inclusive education made by some governments were dismantled by others, and have left disadvantaged children where they were before the study was launched. In the meantime, the system has perfected the process of streaming minority children to dead-end courses that betray the social and economic mobility advertised to them. This book examines the moments and positions of educational betrayal in which racialized and working class students disproportionately find themselves. For many, at that point the only option is to drop out of school and engage in the drug trade or other lifestyles that put them at further risk. This is a longitudinal study of a kind with respect to reform and changes retained in education. It started with eight months observation of a split level grade five and six classroom in September 1986. That was instrumental in identifying the uphill battle that black, working class and new immigrant children and their parents were facing to secure the education they deserved. Through continued reviews, observation and follow up interviews change or lack of it was traced. The results call for urgent overhaul of the way education is provided to all children. The book ends with suggestions to effect change.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.029 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".