Muslim-Christian Dialogue: Challenges and Possibilities
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
A lecture on “Muslim-Christian Dialogue: Challenges and Possibilities” will be held at 7:30 p.m. Tuesday, Feb. 14, in the auditorium of the O’Shaughnessy Educational Center on the St. Paul campus of the University of St. Thomas. The speaker will be Dr. Amir Hussain, editor of the Journal of the American Academy of Religion and a professor of theological studies at Loyola Marymount University, a Jesuit university in Los Angeles, where he teaches courses on world religions.\nThe program, free and open to the public, is sponsored by the university’s Muslim-Christian Dialogue Center and Jay Phillips Center for Interfaith Learning. For more information call the center, (651) 962-5822, or email mcdc@stthomas.edu.\nA Canadian Muslim who specializes in the study of Islam, Hussain is the author of Oil and Water: Two Faiths, One God, an introduction to Islam and Muslim-Christian dialogue, and more than two dozen book chapters and scholarly articles.\nA fellow of the Los Angeles Institute for the Humanities, he has appeared on the History Channel and has been interviewed by major newspapers in the United States and Canada.\nNoting that Christians and Muslims together make up over half of the world's population and that their relationship has included periods of violence as well as cooperation and coexistence, Amir Hussain, professor of theological studies at Loyola Marymount University in Los Angeles, discussed Muslim-Christian dialogue both historically and in our contemporary world.\nSponsored by the Jay Phillips Center and the Muslim-Christian Dialogue Center at the University of St. Thomas To make an accessibility request, call Disability Resources at (651) 962-6315
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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