FLICKERING BODIES: MAPPING MULTICULTURALISM AND INSURGENT CITIZENSHIP IN WAYDE COMPTON’S BLACK VANCOUVER
Bibliographic record
Abstract
We live in a moment of hardening of nationalist discourses against immigration and racial minorities. In this conservative climate, Canada prevails as a benchmark for multicultural integration. However, there are voices within the nation that question this image of harmony. The case of the Black Vancouver community has not yet been studied in depth in this regard. This article of reflection aims to contribute to the debate on the relations of the nation-state and subaltern groups, and how they manifest themselves in the multicultural city. Vancouver has been chosen as a paradigmatic space because of its transcultural character built on indigenous lands. The object of study was the literature of Wayde Compton author and black activist of the city. Stemming from theories of the socio-spatial dialectic of Edward Soja and Leonie Sandercock, this article analyses the connection between the city, its representation in literature and its effects on social relationships. The work of Compton and its parallelism with the geo-history of Vancouver and subaltern ethnic communities were analysed. The result reaches a reading of Vancouver as a (post)colonial city and space of subaltern multiculturalism, regarding the official Canadian model, and colonialism that has made invisible to the Black Vancouver and the indigenous communities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".