One-and-a-half Generation Filipinx Youth in Metro Vancouver: Narratives of Negotiating Ethno-Cultural Identities
Bibliographic record
Abstract
The landscape of Filipinx migration stories to Canada is diverse, and the majority of stories have emerged from studies with Filipinx adults. This narrative inquiry (NI) explored the storied lives of one-and-a-half generation (1.5G) Filipinx youth in Metro Vancouver, their experiences and capacities to develop and negotiate their ethnic identities in three sites of interactions: a) nuclear and extended families, b) school and peers, and c) the wider communities. In this study I gained insights into the impact of migration and acculturation on Filipinx youth who straddle their country of origin and host country which is timely as the Philippines continues to be one of the top three sources of new immigrant families in metropolitan areas such as Metro Vancouver (Statistics Canada, 2022a). NI and Sikolohiyang Pilipino (SP) enabled me, the researcher, to facilitate a respectful process with the participants to tell their stories at their level of readiness. Filipinx youth expressed their experiences through creative ways in combination with first language, Tagalog or Taglish (a combination of Tagalog and English). This generative process benefitted the youths in co-constructing their own storied lives, exploring their awareness of who they are becoming and carving pathways that professionals such as teachers, settlement workers, and social workers could anchor their programs and services. Four narrative threads weave through the five narrative accounts: 1) pride in Filipino identity with the ability to speak a major language in the Philippines; and insights from interactions in three sites: 2) nuclear/extended families; 3) school with peers and staff, and aspirations to pursue post-secondary education; and 4) the wider communities. This study amplifies the voices of 1.5G Filipinx youth and invites various professionals to 'open doors' for newcomer youths.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".