Bibliographic record
Abstract
Constructed in 1886 by Mr. John Abell, the former engine and machine works factory at 48 Abell Street is located near Queen and Dufferin Streets in Toronto, Ontario. This 100,000 square foot heavy timber and red brick building has housed approximately 80 live/work studios since the 1980’s. Recently, rapid gentrification and intensive development proposals in the West Queen West neighbourhood have threatened its existence as an authentic artistic incubator. \n \n \nIn a series of chronicles, this thesis documents the history of John Abell and the neighbourhood surrounding his former factory from the late 19th century to present day. Woven into this narrative are the author’s own stories of living in a loft at 48 Abell Street, observing the transformation of the neighbourhood and responding to potential eviction from her home. When the community rallies to the building’s defense, 48 Abell becomes the central figure in a battle over land development with the City and real estate developers in which the key issue is the cultural value of heritage buildings and protection of live/work spaces. \n \n \nResearch in the form of mapping and data collection shows the concentration of the arts in the area known as the Queen West Triangle has been a catalyst for gentrification. The resulting displacement of arts production space and low-income residents due to escalating land values is an unintended and sobering reality challenging the current orthodoxy of ‘creative city’ movements in North America.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.063 | 0.027 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".