Bibliographic record
Abstract
In recent decades, under the mutually constitutive processes of neoliberal urbanization and globalization, Vancouver has radically transformed and become a serious contender for the title of ‘world-class city’. Against the background of this socio-spatial force reconfiguring the city, I explore how the city's unique development of mini schools – small and selective public schools within larger urban public secondary schools – has been transforming the meanings, practices, projects and imaginaries of the city's communities. I conducted a multi-sited ethnography using an interdisciplinary methodological framework to critically examine how such transformation is carried out. My ethnography focused on the dismantling of long-standing connections between the school and the neighbourhood within the context of the emerging local education market, and how this process unfolds in young people's lives and self formation. This paper draws from Raymond Williams' socio-cultural theories, and Nikolas Rose's theory of the new styles of ‘government through community’. I use these theories together in order to bring forward a nuanced understanding of the new projects of global city communities. I focus on how these new projects are manifested in young people's complex experiences of Vancouver's mini schools. The outcomes of this study will illuminate the ramifications of the education market on the new dynamics of intra-urban social disparity and polarization in global cities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".