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Record W7042348286

Per una traduzione dell’Osetinskaja lira di Kosta Chetagurov

2014· book-chapter· it· W7042348286 on OpenAlexfundno aff

Bibliographic record

VenueInstitutional Research Information System University of Turin (University of Turin) · 2014
Typebook-chapter
Languageit
FieldPsychology
TopicHistorical and Modern Theater Studies
Canadian institutionsnot available
FundersQueen's UniversityMcGill University
KeywordsGermanPoetryPresentation (obstetrics)Linguistic analysisReading (process)Grammatical categoryLexical item
DOInot available

Abstract

fetched live from OpenAlex

The article presents the first results of a major project that aims at analysing and translating the whole collection of poems, entitled Iron fndyr -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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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.

Opus teacher head0.090
GPT teacher head0.282
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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