Migrating the Margins : Circumlocating the Future of Toronto Art
Bibliographic record
Abstract
"The future of Toronto art is now - and it is happening in that assembler of difference, the suburbs. Migrating the Margins traces the roots of artists' diasporic identities as rerouted through the cosmopolitan hospitality of Toronto's suburbs. Being at home with an elsewhere is a common condition, but suburban artists affiliate themselves with their neighbours in the peripheries rather than seek their identities 'back home' or mimic the artistic strategies of the centre. Beyond the identity politics of postcolonialism, beyond postcolonialism itself, these artists reflect an appositional practice that links periphery to periphery. [...] As a result of the peripheries no longer reporting to the centre, we no longer look to the past to legitimate our history but to the diversifying differences of an evolving future. Taking a Glissantian point of view on Toronto's creole conditions as an organized manifestation of diversity, this books sketches out some of the developing characteristics of an aesthetics of amalgamation that have newly evolved in suburban conditions of peripheral circulation and diversifying totality. The suburbs and suburban artists are forever fated to be entangled in difference, where rooted identities are a thing of the past." -- p. 4 of cover.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.015 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".