Medieval Slavic Summer Institute at Ohio State: Celebrating a Quarter Century of a Unique Educational Experience
Bibliographic record
Abstract
The first MSSI in 1999 was 3 weeks long, subsequent institutes have lasted 4 weeks. The most recent MSSI 2024 was the 12th biennial institute. There have been 133 full-time, in-person participants mostly from North American & European universities; the top 10 institutions represented are: Ohio State (40 participants), Univ. of Michigan (9), Universidad Complutense de Madrid (8), Univ. of Cambridge (6), Univ. of Toronto (5), Univ. of Chicago (4), Univ. of Kansas (3) & UCLA (3), Central European Univ. (2) & Harvard (2). In 2024, Atmoja Bose became the first participant from the Univ. of Delhi (India), and Aleksa Karajić (Univ. of Belgrade, Serbia) the first from a Slavic country. We had previously focused on instructing students who did not have access to experts and manuscripts in Slavic Cyrillic at their home universities such as in Serbia, Bulgaria, North Macedonia, and Russia. Predrag Matejic taught MSSI 1999-2017, Daniel E. Collins – MSSI 1999-2019; M.A. Johnson took over from Predrag in 2019, and Bojan Belić (MSSI 1999) has taught Church Slavonic since MSSI 2022. From the beginning there have been guest lecturers, including the Very Rev. Dr. Mateja Matejic in 2003. Professor Jenn Spock’s practicum in reading Muscovite cursive has been a staple since 2006, and Professor Eric J. Johnson’s Western manuscript codicology and printing since 2011. Whenever possible, MSSI alumni are hired as RCMSS graduate research associates; since 2015, MSSI alumni have been invited back as MSSI guest lecturers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads 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".