Bibliographic record
Abstract
Comparative Religion in a large, urban, public university located on the fringes of the American South, yet very much in the heart of the Bible Belt.But strangely enough, Coptic has colored my teaching here in a way it never did while teaching in Canada, not the Coptic language itself precisely, but the largely Coptic corpus of the Nag Hammadi library (Robinson 1978).While studying these texts for the first time in Professor Wisse's graduate seminar on Gnosticism in fall 1983, I could not foresee how useful they would be, 20 years later, trying to instill a critical approach to the study of religious belief and practice here in Bible Belt, almost Southern, USA.In fact, if the success of one's academic training can be judged by how much a graduate student can directly transfer content from a course to his subsequent teaching, Fred Wisse's Gnosticism course comes out, without contest, on top, providing me with more raw teaching material than any other course taken during my graduate career.Although I teach in a public American university, hence ostensibly effecting the constitutional mandate of separation of Church and State, the student culture fully embodies the dominant culture of the region.This culture is a recently urbanized culture, a pious culture, and a thoroughly Christian culture.It is also a patriotic culture, right wing politically, in which being a good Christian and a good American
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".