Revealing a Vacancy: The Royal Victoria Hospital in Montreal from 2015-2020
Bibliographic record
Abstract
The Royal Victoria Hospital, fondly known as the ''Royal Vic,'' was built in 1893 on the flank of Mount Royal in Montreal, Canada. Founded by Scottish immigrants, the hospital intended to open its doors to everyone, a promise that it kept for the following 120 years. During this time, the Royal Vic served the Montreal population, accumulating status and buildings along the way. However, in 2015, the hospital facilities were vacated and moved to the new superhospital conglomerate elsewhere in Montreal. In 2018, the Québec government announced that it would grant McGill University $37 million to develop a masterplan for the future of the site, guided by the Société Québécoise des Infrastructures (SQI). Aside from this, public knowledge about the happenings and conversations regarding the old Royal Vic site has been fragmented. This thesis looks to reveal and organize some of the conversations that make sense of the site. I specifically focus on revealing the planning, or lack thereof, that contributes to the vacancy, the temporary uses that occurred since 2015, and the public debates surrounding the historic site. I aim to answer these research inquiries through a vast document analysis method, surveying news articles, public documents and website material to fill the unknown space that the old hospital left in 2015.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.004 |
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".