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Record W2585655346 · doi:10.12681/comparison.10737

Οι Εκδόσεις Penguin του Οιδίποδα Τυράννου και η Σπουδαιότητα τους για την Πρόσληψη αυτής της Τραγωδίας από το Αγγλικό Κοινό από το 1947

2017· article· el· W2585655346 on OpenAlexfundno aff
Ekaterini Nikolarea

Bibliographic record

VenueΣύγκριση · 2017
Typearticle
Languageel
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
FundersKillam TrustsUniversity of AlbertaUniversity of Calgary
KeywordsGeography

Abstract

fetched live from OpenAlex

Αυτή η μελέτη είναι μια από τις πρώτες προσπάθειες για την εξέταση του πώς η αρχαία Ελληνική τραγωδία γενικότερα και ο Οιδίπους Τύραννος του Σοφοκλή ειδικότερα έχουν προσληφθεί από ένα ευρύτερο αγγλικό (βρετανικό και αμερικανικό) κοινό μέσω δύο μεταφράσεων κατά το δεύτερο ήμισυ του εικοστού αιώνα. Αυτό το άρθρο παρουσιάζει τον τρόπο με τον οποίο δύο μεταφράσεις του Οιδίποδα, που έγιναν από τον Watling και τον Fagles και εκδόθηκαν από τον εκδοτικό οίκο Penguin το 1947 και το 1984 αντίστοιχα, επέδρασαν στην καλύτερη πρόσληψη και κατανόηση αυτή της τραγωδίας από το βρετανικό και αμερικανικό κοινό.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0820.013

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 head0.087
GPT teacher head0.395
Teacher spread0.308 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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