Against the Elements: Reconceiving Public Libraries as a Place of Refuge
Bibliographic record
Abstract
The library typology has significantly transformed over the past half century, introducing makerspaces, multimedia hubs, and amenities well beyond repositories for printed resources. Amidst the housing and climate crisis, libraries have also become important spaces of temporary refuge for those experiencing homelessness or extreme weather events. Exploring these intricacies in Ottawa—a city with a staggering 20% annual population growth in need of new civic amenities— this thesis proposes a new library typology for a Lowertown infill site—one better serving the needs of our entire community. The work provides an analysis of various innovative programming to benefit future libraries. The result is a novel paradigm for public libraries as more inclusive and climate conscious places of learning, gathering, and refuge in Ontario.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.035 | 0.055 |
| Scholarly communication | 0.029 | 0.014 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".