Religious Identity Formation of Filipino Canadian Youth: Exploring Cluster Differences in Religiosity and Mental Health
Bibliographic record
Abstract
Individuals vary in how much exploration and commitment they invest in their identities, which results in different identity “statuses” across a population. Although the majority of Filipinos in Canada identify as Christian, how they each formed their religious identity status may be different, which would be important to understand given the strong relation between mental health and religiosity. Filipino Canadian youth (N = 181) aged 14 to 25 completed online questionnaires about their religious identity status, religiosity, and mental health. A cluster analysis was conducted on youth’s engagement with religious identity formation processes, and results revealed five religious identity statuses: Internalized, Ruminative Moratorium, Undifferentiated, Foreclosed, and Indifferent. Filipino youth with different religious identity statuses had distinct religious experiences and endorsed different levels of mental health. The study highlights the diverse religious experiences in a religiously homogeneous ethnic group which may have implications for mental health.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".