Challenging the Cultural Mosaic: Shani Mootoo's "Out on Main Street"
Bibliographic record
Abstract
The essay examines the short story “Out on Main Street” (1993) by Caribbean-Canadian author Shani Mootoo as an example of fictional contestations of the official policy of multiculturalism in Canada, which has been a major discourse in the realm of cultural affairs in Canada since the Canadian Multiculturalism Act of 1988. Canadian multiculturalism is often critiqued as a token policy aiming at keeping non-‘white’ Canadians from the ‘white’ cultural center of Canadian society. The discourse of multiculturalism is often conceptualized by the spatial metaphor of the mosaic and thus implies rigid boundaries, in this case between ethno-cultural groups. Mootoo is read here as one among many contemporary non-‘white’ Canadian authors of fiction that draft alternative spatial orders to the cultural mosaic in their texts and thus offer ways of imagining Canadian society differently.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.048 | 0.021 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| 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".