Everyday Inclusion with Racialized Youth in Public Libraries
Bibliographic record
Abstract
This qualitative study explores the lived experiences of racialized and immigrant youth in public libraries, focusing on a sense of belonging. The research team conducted 18 observations, two focus groups, surveys (n=79), and interviews (n=17). Findings were then explored with a co-design team of seven racialized youths. Data analysis identified four key themes influencing belonging: accessibility, safety, inclusion (subthemes: familiarity, representation, and acceptance), and agency. Findings reveal that youth value safe, familiar, and inclusive environments where they feel represented and accepted. They also highlight challenges such as limited agency and racial discrimination. Ultimately, the findings emphasize the importance of fostering environments where youth are engaged, empowered, and heard so they can help shape public spaces where they feel truly valued. This paper also offers recommendations for ways public libraries can encourage a sense of belonging for immigrant and racialized youth and directions for future research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.044 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".