Preserving Heritage in Diaspora: A Study of Kapampangan Identity in Winnipeg
Bibliographic record
Abstract
The preservation of ethnic identity in a host society requires the ability of an individual to manage a balance between the need to adapt and the desire to remain connected to one's roots. Thus, this article investigates how the Kapampangans, one of the major ethnic groups in the Philippines, imagine and preserve their culture and ethnic identities in Winnipeg, Manitoba, Canada. Five (5) Kapampangan participants were identified through the snowball technique. It was found that the Canadian government supports individuals in preserving their culture and identity through programs, activities, and communities. Kapampangans utilize their native language, provide Kapampangan cuisine, and revive the Kapampangan spirit through festivities and gatherings to maintain their ethnic identity. These individuals acknowledged that maintaining one's identity in a foreign country like Canada depends upon how strongly one wishes to uphold his culture and tradition. This study offers valuable insights for Filipinos, Kapampangans, scholars, and other countries with an increasing number of such ethnic immigrants. This may also impart knowledge for migration studies and other related courses.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".