Bibliographic record
Abstract
"The anthology “Kulturen verbinden – Connecting Cultures – Сближая культуры” celebrates the 50th anniversary of Slavonic studies at the Leopold-Franzens University Innsbruck. The individual contributions examine in different ways interrelations and mutual influences of languages, literatures, and cultures. The topics range from the early Middle Ages to the present and cover the East, South and West Slavonic regions as well as contact phenomena in Western countries. On the whole, this volume demonstrates that it is the essential achievement of a philological discipline such as Slavonic studies to bring cultures into communication with each other and to explore cultural interconnections. Der Sammelband Kulturen verbinden – Connecting Cultures – Сближая культуры verdankt sein Zustandekommen dem 50-jährigen Bestehen der Slawistik an der Leopold-Franzens-Universität Innsbruck. Die einzelnen Beiträge untersuchen in unterschiedlicher Weise, wie Sprachen, Literaturen und Kulturen mit einander in Verbindung stehen und sich wechselseitig beeinflussen. Die behandelten Themen reichen vom frühen Mittelalter bis in die Gegenwart, wobei der ost-, süd- und westslawische Raum ebenso erfasst wird wie Kontaktphänomene in westlichen Ländern. Insgesamt unterstreichen die Autorinnen und Autoren, dass die wesentliche Leistung einer philologischen Disziplin wie der Slawistik darin besteht, Kulturen miteinander ins Gespräch zu bringen und kulturelle Verflechtungen zu erforschen."
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.928 | 0.909 |
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".