Bibliographic record
Abstract
Abstract This article contributes to contemporary debates surrounding the outcome of culture‐led redevelopment by exploring the tensions that arise when a broad application of ‘culture’ is used to theme space. I take as my focus the Distillery District, a private sector redevelopment in the City of Toronto, Ontario that draws on the arts alongside industrial heritage to heighten consumption. The article is divided into two main sections. I begin with a review of Toronto's shifting arts policies — from a focus on securing space for artistic production to a focus on arts consumption for interurban competition — to contextualize the planning framework underlying the redevelopment of the district. Second, I engage with how diverse and creative interruptions directed by the tenancy run against the unifying grain of the redevelopment process. While culture and creativity are drawn into a strategy of place‐making for the purpose of place distinction, an incongruous festival and events season, and the tokenistic inclusion of cultural producers to satisfy a public appetite for the creative process, complicate these descriptors of space. Ultimately, the representation of the Distillery as a premier centre for ‘arts, culture, and entertainment’ is unravelled by multimodal ways of seeing and experiencing culture and place.
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 | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.076 |
| Scholarly communication | 0.019 | 0.006 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.002 | 0.006 |
| 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".