Religious Change and Continuity Across Generations
Bibliographic record
Abstract
Religious Change and Continuity Across Generations: Passing on Faith in Families of Six European and North American Nations brings together scholars of religious studies, secularism, and family science to examine how religion is passed down the generations in six European and North American nations. Taking a social change perspective within the context of family socialization theory, the authors treat intergenerational change and continuity in religion and spirituality as occurring under specific national and historical conditions. As such, they consider the social forces that variously reinforce or inhibit transmission of religiosity across successive generations within families. The volume provides a nuanced view of the role that societal context plays in religious transitions and transformations. Chapters consider the strong influence of the Roman Catholic church in Italy, Communist suppression of religion in Hungary, aversion to religious discussions in Finland, the East-West/Catholic-Protestant divide in Germany, and rapid religious deculturation in Canada and the U.S. Further, each chapter takes a mixed-methods approach, using quantitative survey data to describe the strength and pattern of intergenerational transmission and interview data to clarify family dynamics by which parents, and ofttimes grandparents, influence the religious beliefs and practices of younger generations—taking care to consider how the absence of religion is also conveyed to the next generation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".