Introduction: education policy and multicultural cities
Bibliographic record
Abstract
I’m not against specialized curricula, but having separate schools for blacks or other ethnic students is as offensive as white-only washrooms. I object to educational apartheid because it turns back the clock on civil rights … Schools socialize us into becoming Canadians. They help us cross class and racial lines so we can head into the workplace. Separate schools with monocultural learning environments are antithetical to the principles on which our public school system is based: openness, integration, cohesion. How can you eliminate racism by segregating along racial lines? (Wong, 2011: np) Multiculturalism is the toxic gift that keeps on giving. (Lentin and Titley, 2011: 3) This is a book about how a small Black-focused school came to be in a global, multicultural city. It is a story of the imbrications of education policy, markets, difference and race in the city. In September 2009, just over 100 students entered the classrooms of the Africentric Alternative School for the first time. A kindergarten to grade five school, later expanded to grade eight, the Africentric school opened as an elementary school-within-a-school at the existing Sheppard Public School in the northwest area of Toronto. It was the first Black-focused elementary school to be established by the Toronto District School Board (TDSB), a school district with 600 schools and close to 300,000 students, of whom 12%, or 31,800, students identified as Black (Yau et al, 2011). According to the school website: ‘[a] unique feature of the AAS [Africentric Alternative School] will be the integration of the diverse perspectives, experiences and histories of people of African descent into the provincial mandated curriculum’ (AAS, 2011). The curricula approaches in the school broadly accord with the approaches of Black-focused schools in the United States of America, many of which were established in the first instance in the 1960s and 1970s, that draw on a transnational and diasporic set of Afrocentric knowledges and politics (Dei 1996; Dei and Kempf, 2013). The Africentric Alternative School was one of four elementary schools that opened as part of the ‘alternative schools’ programme in September 2009, as part of a Toronto education policy framework that not only enabled choice, in allowing parents choose to send their children to existing alternative schools, but also allowed for the establishment of new schools by parents and other interested parties.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.070 | 0.009 |
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".