Use of Distance Education by Religions of the World to Train, Edify, and Educate Adherents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<P>Islamic, Hindu, Buddhist, Baha'i, Jewish, and Christian organizations are all experimenting with distance education for various reasons and to different extents, due to religious, economic, and political factors. Religious institutions worldwide are not only turning to the World Wide Web (WWW) to place information concerning religious beliefs and provide virtual services for their constituents but are also getting more involved in formally educating their members at a distance. This paper will document some of these educational efforts and the reasons behind the expanding use of distance education by several of the major religious institutions for training, edifying, and educating their religious adherents.</P> <P><B>Keywords:</B> distance education; distance learning; religion; religious education and training; religious institutions; theology</P>
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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