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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".