Bibliographic record
Abstract
This lecture on the Arabian Nights was recorded in February 2021. The lecture was designed for students and faculty in the Freshman Studies program. This program, a multidisciplinary introduction to liberal learning, has been a cornerstone of the Lawrence curriculum since 1945. The lecturer, Martyn Smith, is Associate Professor of Religious Studies at Lawrence. Professor Smith joined the Lawrence faculty in 2006. He holds a B.A. in Theology from Prairie Bible College in Alberta, Canada; an M.A. in Theology from Fuller Seminary, in Pasadena, California; and a Ph.D. in Comparative Literature from Emory University in Atlanta, Georgia. Professor Smith believes in the importance of students encountering religious sites and so leads annual trips to visit mosques in Dearborn, Michigan. He has also led students on field experience trips to Morocco and Senegal. Beginning with his book Religion, Culture, and Sacred Space (Palgrave, 2008), Professor Smith has concentrated on questions concerning the human interaction with place. He has written academic essays on medieval Cairo and has recently expanded his work into a comparative online examination of sacred space around the globe.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.062 | 0.014 |
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".