Identity, identification, and racialisation : immigrant youth in the Canadian context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As the number of immigrant youth in Toronto increases in a time of federal budget cuts in social services, policy makers and service providers must focus on how identity and identification are integral to youths' integration process as newcomers to Canada (Desai & Subramanian, 2000; Kilbride, Anisef, Baichman-Anisef, & Khattar, 2000). Racialized immigrant youth face unique barriers and struggles as intersecting effects of 'race', class, age, and gender meditate their experiences (Desai & Subramanian, 2000; Kilbride et aI., 2000; Rummens; 2003). Through focus groups and individual interviews with foreign-born, non-white youth, this study explores how youth are able to articulate, negotiate, and problematize their identity. Employing an antiracist theoretical framework and a critical social research approach, the study asks in particular: how do racialized immigrant youth self-identify and perceive their 'racial', ethnic, and/or cultural identity? The study's findings confirm that identity is constructed in a relational and contextual manner that is dependent on experiences of being othered and racialized.
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.
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 | 0.004 | 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 | 0.003 | 0.000 |
| 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 it