No identity connections without representation? Exploring associations between neighbourhood opportunities, ethnic–ideal alignment and well‐being in Black, Indigenous and other youths of colour in Canada
Bibliographic record
Abstract
Abstract In Canada, Black, Indigenous and other youths of colour often have high aspirations, but many are not sure that they are attainable. Context can signal what is in or out of reach to youths, particularly environments that send repeated and proximal signals, like neighbourhoods. Notably, the Social Identity Approach suggests that in neighbourhoods with people like them doing well socioeconomically or being well represented in leadership, youths may see a place for people similar to them, which in turn could benefit how they view their identities and experience well‐being. In this exploratory research, Black, Indigenous and other youths of colour in Montréal ( n = 179) were surveyed about their neighbourhood, social and future identities and well‐being. Regressions suggest that youths' neighbourhoods predict the extent to which they perceive that opportunities are accessible to people like them. Youths who reported more opportunities for people similar to them in their neighbourhood tended to report higher alignment between their racial/ethnic and ideal future identities and higher flourishing. The findings highlight the connection between neighbourhood factors—such as cues about whether similar people are welcomed, valued, and have access to opportunities—and the identities and well‐being of Black, Indigenous and other youths of colour.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".