The Humber and its currents: informing public place through historical analysis
Bibliographic record
Abstract
Following the groundwork established by scholars such as Lucy Lippard, Svetlana Boym, Robin Wall Kimmerer, and Julie Eizenberg, this thesis aims to uncover a practical approach to the curation of public places of belonging in post-industrial society. More specifically, it focuses on the use of history as a tool for placemaking amidst colonial structures of indifference, alienation, and displacement In Toronto, Ontario, Canada. The research consisted of a thorough social, ecological, and historical analysis of the Humber River and the surrounding communities, with a particular focus on the City of Toronto and four adjacent neighbourhoods within its urban watershed. The proposed architectural intervention is a response to the social and ecological issues identified in the paper across a spectrum of nested scales. At the most architectural scale, the proposed building addresses the social needs of the local communities, providing facilities for children, youth, parents, and the elderly to learn through participation in their environment, while also providing opportunities for community organizers to lead and to educate the public.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.038 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".