Problem-Based Learning and Two Studies of the Journal of Religion and Film: Self-Sacrifice and Music
Bibliographic record
Abstract
This article offers a case study for using problem-based learning (PBL) in a religion and film course. PBL is an open-ended, experiential approach to teaching, which requires students to engage with a real world problem in groups. While many university classes are based on a lecture format and variations of that format, PBL asks students to take greater ownership of their learning. The problem drives what students will learn, how they will learn it, and what they produce to assess that learning. Students in a fourth-year PBL class at the University of Toronto Mississauga were given the following problem: analyze developments in the field of religion and film over the past 20 years through the lens of the Journal of Religion and Film. All four groups of students in the course made significant discoveries in their response to this assignment, and two in particular stood out. These two groups examined patterns evident in how the topics of self-sacrifice and of music were (and were not) discussed in the journal.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".