Locating home : the diverse experiences of recent newcomer youth and first generation youth within Ontario's education system
Bibliographic record
Abstract
This study has found that youth who or whose parents had left their home country for fear-based reasons were less involved within their school and wider community than youth who left or whose parents left for reasons concerning their social mobility. Many existing studies focus on the challenges newcomer youth experience within the education system (see Anisef, Brown, Phythian, & Sweet, 2010), however through the use of qualitative methodologies this study expanded on the current literature by further examining why it is some youth are successful in overcoming such challenges, while others are not. This study supported what has been demonstrated in the literature regarding challenges faced by newcomer youth and resources to address such challenges. Despite challenges experienced within the education system, youth planned to complete secondary school and attend a postsecondary institution. However, not all youth anticipated remaining in Canada upon completion of their education, with youth or youth whose parents left their home country for fear-based reasons frequently discussing the possibility of returning to their or their parents' home country. Thus, perhaps these youth were less involved within their school, as their goal was not necessarily to establish or maintain connections within their community as they may have viewed residing in Canada as temporary. This finding has important implications, as there are benefits to involvement in extracurricular activities, which may assist youth in overcoming challenges encountered within the education system. Therefore, it would seem that youth who had or whose parents had left their home country for reasons concerning their social mobility may have be at an advantage within the education system with respect to their involvement in school. Perhaps then this differential involvement may at least partially explain why it is some newcomer youth are able to overcome challenges they experience in the education system, while others are not. Both policy and theoretical implications are discussed.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".