The Role of Canadian Public Libraries in Facilitating Sustainable Lifestyles
Bibliographic record
Abstract
The importance of sustainable lifestyles is addressed in two of the United Nation’s Sustainable Development Goals. Public libraries can play a significant role in providing information and resources to lead to positive behavioural actions to help mitigate climate change. The paper examined the resources and programs that thirteen public libraries in Canada offer to people interested in pursuing a zero-waste (ZW) lifestyle. Catalogue and descriptive records for resources and programs related to ZW were extracted from Canadian public libraries that represented each of the provinces and territories. Thematic analysis was conducted on 335 unique subject headings (167 in English, 168 in French) obtained from the bibliographic records of 207 titles, as well as on the titles and descriptions of 34 library programs. This analysis revealed that the library resources covered a span of 14 ZW behaviours or activities, including childcare, food preparation, environmental sustainability, waste reduction, and waste disposal. Through their programs and collections, public libraries can help make sustainable lifestyles more attainable to a greater number of people across different social, cultural, and demographic groups. Given the increasing importance of sustainable lifestyles to mitigate climate change, public libraries could consider how to expand and emphasize their sustainability collections, and particularly programming, to further strengthen and demonstrate their commitment to supporting sustainable lifestyles and practices.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.022 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".