Do Religion and Spirituality Make a Contribution to the Public Good? The Association of Religion and Spirituality with Volunteering
Bibliographic record
Abstract
Involvement in religious communities has long been associated with a variety of contributions to the public good such as volunteering. However, the patterns of religiosity are complex in Australia, with many indicating ‘no religion’ and with a changing balance in the proportions attending Evangelical and Pentecostal churches compared with the mainstream churches. Approximately one quarter of the adult population describes themselves as ‘spiritual but not religious’. Based on a national survey conducted in 2016, the hours of volunteering among these diverse religious groups in the Australian community was examined. Overall, it was found that religious attenders contributed more than non-attenders to the public good through volunteering and that Evangelicals and Pentecostals contributed most, albeit doing much of their volunteering through their own religious organisations. It was found that much volunteering in religious organisations is conducted for the public good rather than for the religious organisations themselves.
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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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".