Little Mosque on the Prairie - “Keeping the Faith” (season 4, episode 16)
Bibliographic record
Abstract
Interfaith discussion facilitated by Odeh Muhawesh, Noreen Nazir, and Rabbi David Wirtschafter\nThis is the second in a series of three discussion sessions featuring selected episodes of Canada’s popular television sitcom Little Mosque on the Prairie. This fun, light-hearted, and comedic show raises several practical everyday issues facing North American Muslims and people of other religions. Can a mosque be in a church? How diverse is Islam? What role does Western culture play in the formation of an Islamic community? These questions and others will be discussed at these gatherings.\nFacilitators: Odeh Muhawesh, a special constultant for the Jay Phillips Center, earned his doctorate at Qum Seminary-Global Institute for Islamic Studies in Iran where he focused on comparative theology and Islamic jurisprudence. As an adjunct professor at the University of St. Thomas, he teaches courses in Islamic theology and the modern history of the Middle East. Noreen Nazir, a Catholic from Pakistan, holds an MA degree in Islamic Studies from Luther Seminary and has worked with the Christian Study Centre in Rawalpindi and the National Commission for Interfaith Dialogue and Ecumenism in Pakistan. Rabbi David Wirtschafter regularly serves as rabbi-in-residence with the Jay Phillips Center and is the rabbi of the Ames Jewish Congregation in Iowa.\nSponsored by the Jay Phillips Center in collaboration with St. Pascal Baylon Catholic Church
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.016 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".