Prime Time for Prayer: An Analysis of Prayers Offered and Answered in the Reality Series<i>Answered Prayers</i>
Why this work is in the frame
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Bibliographic record
Abstract
Media power couple Roma Downey and Mark Burnett’s 2015 reality program Answered Prayers appeared as a six-episode series on TLC. The program depicts prayer lives through spoken interview-style vignettes and reenactments portraying individuals and families in crisis. This article addresses the ways in which Answered Prayers depicts how people pray, why they do so, and what “answered prayers” look like via reality media. A grounded theoretical analysis (Charmaz 2006) allows for themes and relationships in the data to emerge. Results indicate that this reality program suggests to viewers that prayers are always answerable. A model of relationships between offering prayers and receiving answers is presented, and the objectives of the producers of the program are addressed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it