The regenerative urban ecology hubs: An alternative approach to the design and operation of pedagogical environments in the Toronto District School Board
Bibliographic record
Abstract
A novel approach to the dissemination of ecological knowledge in Toronto is urgently required: one that does not presume miracle support for new builds in the future but instead initiates its own regeneration today by reimagining latent sites of opportunities as hubs of ecological thinking. By synthesizing ideas of life-centered design, community participation and ecological urbanism into one quasi-architectural typology – the Regenerative Urban Ecology Hub –this thesis project contributes to the creation and dissemination of ecological knowledge with the population best poised to sustain positive change: children. By empathetically navigating the intersection of ontology, pedagogy and ecology, this thesis project imagines what roles regenerative architectural theory and design could have in restoring the dissemination of ecological values in the Toronto District School Board. In redefining how the facilities and operations of these vulnerable programs are conceived and designed, architecture can ambitiously elicit both a pedagogical reform and an urban rewilding.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".