Reflections on the Public Library System in Canada: Inclusivity, Race and Power
Bibliographic record
Abstract
Public libraries as an institution are of the upmost importance to Canadian society as individuals from a variety of socio-economic and cultural backgrounds rely upon these spaces to gain access to information, education, and recreational activities. For this reason, these institutions strive to be inclusive and welcoming spaces. However, they are not always successful in these endeavours. The following paper highlights the ways in which Canadian libraries promote a homogenous culture of whiteness. Although this subject has been discussed in the American context, this paper situates Canada within this scholarship through investigating the makeup of Canadian libraries, the treatment of library patrons, and the documented experiences of racially marginalized staff. Based on these findings, this paper highlights scholarly and practitioner recommendations while also advocating for further research on this topic within the Canadian field of Library and Information Sciences (LIS).
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.097 | 0.032 |
| Scholarly communication | 0.023 | 0.007 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".