Bridging Cultural Identities: Examining Newcomer’s Post-Secondary School Integration Experiences Through an Arts-Based Ethnographic Approach
Bibliographic record
Abstract
Many modern emerging adults undertake the task of identity development while navigating life on a post-secondary campus, where they assimilate to new social and learning environments. Emerging adult newcomers (i.e. immigrants) must navigate additional developmental challenges as they reconcile their cultural, ethnic, and personal identity development simultaneously while facing systemic barriers to post-secondary integration. We employed an arts-based engagement ethnography to investigate the post-secondary integration experiences of 10 emerging adults from a person-first perspective. Through cultural probes, individual semi-structured interviews, and focus groups, we identified four key structures to participants’ integration experience: fitting in (through assimilation and accommodation), biculturalism, managing familial expectations, and being a newcomer in the classroom. This research clarifies the key experiences shaping young newcomer identity development and highlights the profound ways in which young newcomers negotiate and reconcile their intersecting identities while integrating into new education contexts following migration.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".