Bibliographic record
Abstract
V prispevku razpravljam o recepciji del Matije Murka v ameriški komparativistiki. A znani zgodovinski narativi o primerjalni književnosti ne predstavljajo primernega okvira za specifike tega raziskovalnega problema. Tako najprej predstavim kanonizirane zgodovine primerjalne književnosti, nato pa preko raziskave sprejema in vpliva Matije Murka na razvoj ameriške komparativistike pred in po drugi svetovni vojni pokažem, da kanonizirane zgodovine vede nekatera obdobja preprosto spregledajo. Pri tem se osredotočim na raziskavo Murkovega vpliva na razvoj tako imenovane teorije ustnosti, predvsem na delo Alberta Batesa Lorda (1912–1991). Nato razpravljam o recepciji Murkovih del v zgodnji ameriški komparativistiki, predvsem pri Charlesu Millsu Gayleyju (1858–1932) ter »harvardskih folkloristih«. Tako pokažem, da raziskovanje diseminacije del nekanoničnega raziskovalca, v tem primeru Matije Murka, odpira vrata celo v neznane in povsem spregledane zgodovine komparativistike.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".