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Record W4394013940 · doi:10.52006/main.v6i4.882

Preserving Heritage in Diaspora: A Study of Kapampangan Identity in Winnipeg

2024· article· en· W4394013940 on OpenAlexaboutno aff
Wilma M. Cruz, F.P.A. Demeterio

Bibliographic record

VenuePhilippine Social Science Journal · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaIdentity (music)AnthropologySociologyHistoryGeographyGender studiesArtAesthetics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.103
GPT teacher head0.322
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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