Miracles or Love? How Religious Leaders Communicate Trustworthiness through the Web
Bibliographic record
Abstract
A religious organization should communicate trustworthiness by attempting correctly to interpret its message and by recruiting new members. Modern communication involves new means of communication like the Internet, which has become an important medium capable of spreading a complex message to a large audience. Religious movements are a growing social and organizational force that employ modern communication methods and criteria. This paper addresses the convergence of religious communication and the Internet, by focusing on trust, a fundamental element of any type of communication, especially of a religious kind. Two main drivers can elicit trust: capabilities (the skill to realize what is promised) and benevolence (the lack of any opportunistic or egoistic goal). This paper employs the content analysis method to analyze the biographies of religious leaders posted on the their official web-sites, in order to verify the existence of these two trust drivers, i.e., leader’s capabilities and benevolence. The results demonstrate the different stress placed on each.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".