Bibliographic record
Abstract
Medieval Studies at the University of Calgary is a field spread out over several faculties, specifically Humanities, Social Sciences, Arts, and Communication and Culture. There is one multidisciplinary program that draws on courses offered by most of these faculties, a Minor in Medieval, Renaissance and Reformation Studies, with an anchor course in Humanities. Since students do not have to declare a Minor, enrolments are modest. There is no interdisciplinary M.A., but efforts are under way to fit such a program into a generic interdisciplinary M.A.. There are, however, significant opportunities for studying the medieval period and for writing an Honours, M.A. and (the odd) Ph.D. thesis within the traditional disciplines. Moreover, several graduates, especially from History and English, have pursued advanced degrees in Canada (Toronto), the U.S. (Notre Dame, Santa Barbara) and Britain (Oxford). Precisely because it is not a regular discipline, Medieval Studies has not been affected by systemic cutbacks. In addition to the specialists on hand, there have been recent appointments in this area in several departments, but that departmental presence and strength usually depends on just one person. Outside this structure, there is a flourishing Philology Research Group with an impressive range of activities. It was initiated by Ken Brown (French, Italian and Spanish Languages) four years ago and has been successful in attracting funding from the Faculty of Humanities, the university, and SSHRC. Its focus has been on textual editing, including text-encoding, palaeography, codicology and printing, with scholars from the U.S., Europe and Australia teaching workshops in their specialties. The Group has a community outreach program involving high school students, funded by the Delmas Foundation, and publishes its own series of occasional papers. Most recently, a beginning has been made in establishing a Medieval and Renaissance Cultural Studies Research Group with gender as its focus.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.419 | 0.153 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".