Transforming Public Libraries as Spaces of Refuge & Resiliency During Climate Crisis: Toronto Public Library Youth and Staff Perspectives
Bibliographic record
Abstract
As climate change progresses and environmental degradation threatens life on earth, public libraries have the potential and obligation to transform their roles to become a true place of refuge and resiliency for their communities. This can be accomplished through a dramatic change in their vision, to include: focusing heavily on their environmental responsibility to their communities, enhancing environmental literacy education, furthering environmentally-friendly organizational practices, and creating solid community networks to manage climate emergencies which will result in more resilient communities. As a Toronto Public Library employee for over eight years, my own experiences and reflections are discussed. Interviews were conducted with four children who frequent the Toronto Public Library Jane Sheppard branch and one Toronto Public Library Librarian. As one of the leading public library systems in the world, the Toronto Public Library has the capacity to become a prime example of developing their branches successfully to be hubs of the community providing refuge and resiliency during climate crisis.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.009 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".