Untold History, the Museum of Toronto
Bibliographic record
Abstract
From its role in the fur trade in the 17th century to the multicultural city that it is today, the City of Toronto has evolved significantly over time. This thesis attempted to build a container to recognize the city’s history through the design of a museum: ‘Museum of Toronto’. The project itself is located at the east end of the St. Lawrence neighbourhood, adjacent to the busy downtown core, where the first parliament of Upper Canada once stood. The museum is targeted to all Torontonians, including; all Canadians who choose to live in Toronto; immigrants who are looking for new places to call home; and children and youth who are curious to learn more about the city they live in. \n \n\tThe design of the building began with explorations into the city’s history including its immigration policies. These historical narratives influenced the true purpose of the building both as a place to exhibit historical artifacts connected to the city’s development and also as a place of inclusion for newcomers. As such, the museum houses a mix of cultural institutions: a museum, theatre, library, and also a learning centre. The ‘Untold History’ refers to not only histories of the past, but also to histories of immigrants yet to come. The main goal of the design was to create a space that could simultaneously express the past and also be open to the possibilities of the future. The architecture itself addresses the complex functionality of a museum and the representation of memory through physical form while creating a place for integration and development of the community, to the newcomer, to the elderly and the children, but most importantly to open the eyes to the lake.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".