Highly religious young Catholics in Northern Ireland: Renewing the Catholic landscape?
Bibliographic record
Abstract
Abstract This article explores findings from a 2022 survey of students associated with the Catholic Chaplaincy at Queen's University, Belfast. It is the first study to investigate the beliefs, practices, and experiences of highly religious young Catholics in Northern Ireland. It presents survey findings on beliefs, practices, and influences on faith; dynamics of increased religiosity; and views on Church teachings on same sex relationships, euthanasia, sexual relationships, and abortion. Women are more likely to disagree with Church teachings on these issues than men. The survey confirms the importance of family socialization but finds that a substantial minority experience religious change at university. Respondents prioritize renewal but disagree on how to prompt it: some advocate greater ‘openness’ to women, LGBTQ+, and others perceived as marginalized; and others feel ‘evangelization’ should be emphasized. ‘Post‐secular Catholicism’ is used as a foundation for reflections on religious persistence among Northern Ireland's young Catholics, raising questions about their potential role in renewing Ireland's Catholic landscape in light of the synodal process underway in the Church.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".