“Understand What the Feelings of the Student Must Be:” Newcomer Youths’ High School Integration Experiences
Bibliographic record
Abstract
The present study was grounded in a social constructionist epistemology with an integrative social justice lens. It highlights the perspectives of one group – that of newcomer youth – from a collective case study exploring the phenomenon of school integration across multiple collaborators in one designated high school. As school integration is a central component in the lives and experiences of newcomer youth, this study aimed to provide insights and lessons learned directly from this group as they were integrating into a high school in Western Canada. In line with the epistemology and research design, the research prioritized participant voices with the goal of affecting change within the designated high school. The central research question guiding this study was: How do participants perceive and describe their experiences of integrating into high school? To address this question, semi-structured, qualitative interviews were conducted with 13 newcomer high school students between the ages of 15 and 19. Upon conducting a thematic analysis on the interview transcripts, five salient themes were developed, including (a) the stress of acculturation, (b) language transition, (c) making connections, (d) navigating academics, and (e) renegotiating life. In this manuscript, the inter-relationship between these themes is discussed in a manner that captures the complex, multifaceted process of school integration. Relatedly, implications are presented.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".