Architect-ing In-Betweenness: Human-Centred Design for Toronto's Arrival Cities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For over a century Toronto has embraced waves of immigration. Today, its ‘arrival cities’ emerge as the isolated and over-determined post-war apartment tower neighbourhoods and are among the least suitable places for low-income immigrants to settle. For the residents of arrival cities to thrive in their new living environment, the implementation of a model that takes a human-centred approach while considering in-betweenness is explored. The goal of this thesis is to create a proto-design – guided by a conceptual and physical framework – to serve as a new housing complex allocated to these neighbourhoods. Guided by the framework, the architecture highlights the themes of shared agency and shared space. At different scales – from the neighbourhood, to the building, to the unit – key elements are embedded and synthesized to create a collective identity of belonging, connectivity, and community-building for its residents.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 it