Review of: Bengston, V., Putney, N.M., & Harris, S. (2013). Families and Faith: How Religion is Passed Down Across Generations. Oxford: Oxford University Press.
Bibliographic record
Abstract
Religious affiliation remains an important matter within the life of many families today.It is not uncommon for parents and grandparents to hope that their children and grandchildren will grow up to embrace the religious traditions they cherish.Adherence to shared religious values and practices can play a positive role in strengthening the bonds of solidarity within the family; however, this dimension of intergenerational life also can become a focal point of tension, disappointment, and pain.Families and Faith is devoted to exploring the factors that influence how, and whether, religious affiliation is passed down from one generation to the next.The publication of this book followed a four-decade-long period during which Vern Bengston, now Professor Emeritus of Gerontology and Sociology at the University of Southern California, worked with a host of collaborators to conduct the Longitudinal Study of Generations (LSOG).This study was the largest study of families ever undertaken with the LSOG following more than 350 multigenerational families composed of over 3,500 individuals.Families and Faith reflects the cumulative fruit of Bengston's long and distinguished career, one that has led to the development of several robust theories about intergenerational relations, as well as the publication of 16 books and roughly 250 research articles.In this book, the authors draw upon research conducted by their team between 2005 and
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.018 |
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".