Anti-Racism in Practice: The Development of a Black Community Public Library in Canada
Bibliographic record
Abstract
Neutrality and diversity are the bedrock of public libraries. Yet, public libraries are also steeped in white privilege and many have yet to examine the effects of anti-Black racism. Amidst an ever-growing crisis of inequity, this chapter explores the development of the Black Community Public Library and its roots in Black-centered and community-based perspectives. It provides important insights into how public libraries can transgress the centrality of whiteness in traditional public libraries through community-led and community-based partnerships within collaborative anti-racism and justice frameworks. Opening in January 2022, the Black Community Public Library is the first of its kind to conceptualize and highlight the need for Black-centered services and collections in Canadian public libraries. Located in the Where We Are Now Black Community Centre, the library is the result of a year-long partnership between the Black Community Centre, local higher education institutions, and the municipal library system. It holds an initial circulating collection of 600 titles representing a variety of equity-seeking perspectives. Detailing the development and launch of the Black Community Public Library, this case study demonstrates how to re-envision library spaces with and for communities that have been historically under-represented and provides invaluable insight into how the public library sector can support and engage with Black communities through meaningful partnership and collaboration. Furthermore, it will substantially contribute to the growing body of collaborative knowledge on advancing anti-racism in LIS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.075 | 0.015 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| 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".