Bibliographic record
Abstract
In modern histories of folklore scholarship, when the topic concerns pioneers of oral epic fieldwork prior to Milman Parry and Albert Lord, no scholars are mentioned more often than Wilhelm Radloff and Matija Murko.1 Though the two worked in different language families and belonged to different scholarly generations (Radloff was nearly a quarter-century older than Murko), the reasons for their influence are well known: Radloff was one of the first to collect oral epics from Turkic-speaking peoples in Russia and Siberia, doing so throughout the 1860s and 1870s, while Murko, in his time as a professor in Vienna, Graz, Leipzig, and Prague, conducted extensive fieldwork in Yugoslav lands among epic and lyric singers as early as 1909 and as late as 1932.2 Today both are regarded as two of the earliest observers of oral epic to have provided substantial firsthand documentary accounts of performances they witnessed in the traditions within which they worked, and both are frequently cited in debates surrounding the role played by oral epic in the twentieth-century form of the "Homeric Question."
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".