Per una traduzione dell’Osetinskaja lira di Kosta Chetagurov
Bibliographic record
Abstract
The article presents the first results of a major project that aims at analysing and translating the whole collection of poems, entitled Iron fÊndyr -in Russian usually rendered as Osetinskaja Lira -, by the Ossetic poet Kosta Khetagurov (1859Khetagurov ( -1906)).Kosta Khetagurov is generally regarded as the initiator of a literary tradition in Ossetic and the founder of the standard language.Therefore, and also for some other cultural reasons, it is extremely important to make available to a larger public in the West the poetic work composed by this versatile artist in his native language.After a concise overview over life and works of Kosta Khetagurov, the main attention is given to the presentation of two different types of edition: the original Ossetic text is accompanied by a translation into German (first variant) or Italian and English (second variant).In both cases a morphosyntactic analysis, conducted according to the principles of the so-called Leipzig glossing rules, allows a deeper and better understanding of each lexical and grammatical form in the text.Finally, some issues arising in the linguistic analysis of the data, concerning first of all the labelling of grammatical categories in the interlinear gloss, are shortly tackled and discussed.(Abaev 1990d, p. 559); si tratta, in effetti, di un perso-1.Nel presente contributo, frutto di riflessioni e attività congiunte, sono comuni l'introduzione (par. 1) e le conclusioni (par.7); Vittorio Springfield Tomelleri ha curato la parte biografica (parr. 2 e 3), quella relativa al testo oggetto dello studio (par.4) e la bibliografia finale, mentre Michele Salvatori si è dedicato alla parte ecdotica (par.5) e linguistica (par.6).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.033 |
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".