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
Apart from numerous survey courses such as the Histories of Medicine, of Technology, of Art, and the Literature of the European Tradition—all of which span several centuries including the Middle Ages, and are offered by various departments of the Faculty of Arts, there is a fairly strong contingent of special topics courses in medieval studies at the University of Alberta. For example, Martin Tweedale of the Department of Philosophy offers an undergraduate course on early medieval philosophy. There are currently three medievalists in the Department of History and Classics. Andrew Gow regularly teaches courses on late medieval and early modern Europe. John Kitchen is a specialist in medieval religion, medieval intellectual history, the history of Christian holy women and medieval Latin literature. Kitchen currently teaches an undergraduate course on early medieval Europe. Thirdly, J.L. Langdon, a specialist in British Medieval history, teaches a course on the formation of England in which he covers the political, social, economic and religious developments of England from the fifth to the twelfth century.
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 | 0.000 | 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) | 0.008 | 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