Smokestack perceptions: exploring opportunities for intensification and light-industrial mixed use on Geary Avenue
Bibliographic record
Abstract
<div>The high value of land, strain from rising property taxes, and pressure to redevelop impacts low-rise industrial users in Toronto and is leading to a dwindling supply of industrial employment land. The push for ‘highest and best use’ often leads to mixed-use development, common in most urban areas. Currently, most mixed-use projects deliver Commercial Residential (CR), meaning industrial users, which provide</div><div>competitive wages and have linkages to other industries that benefit the overall economy, have been largely left out of the conversation. This research explores how light industrial uses could be integrated into new mixed-use development to meet the demands of intensification, while adopting measures to incentivize its protection and vitality. Case study exploration from Vancouver and San Francisco, and in-depth subject area analysis prompt recommendations for a more diverse mix including compatible industrial use on Geary Avenue, one of Toronto’s remaining urban industrial corridors.</div><div><br></div><div>Key words: production, distribution, repair (PDR); light industrial; mixed-use; intensification</div>
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".