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Anatomija fiaska

2024· article· sl· W4401701007 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmfiteater · 2024
Typearticle
Languagesl
FieldEnvironmental Science
TopicEnvironmental Science and Water Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Teatrologi se v svojih razpravah o kanonizaciji komedije navadno zanašajo na analize uspešnih besedil. Toda prav tako produktivno, če ne celo zanimiveje, bi bilo, če bi odgovore na svoja vprašanja iskali pri neuspešnih komedijah, še zlasti pri tistih, ki so jih napisali vrhunski pisatelji. V pričujočem prispevku se zato osredotočam na tri igre iz približno istega zgodovinskega obdobja, ki so ob praizvedbi klavrno propadle in si od poloma bodisi nikoli niso popolnoma opomogle ali pa jih od takrat vsaj ne štejemo več za komedije. Ta tri dramska besedila so: Kandidat (Le Candidat [1874]) Gustava Flauberta, Guy Domville (1894) Henryja Jamesa in Utva (Ча́йка [1895]) Antona Pavloviča Čehova. Čeprav so bila ta besedila uprizorjena v času, ko so bili njihovi avtorji že dodobra uveljavljeni, se premiersko občinstvo nanje vendarle ni odzvalo v skladu s pričakovanji. To je še presenetljivejše zato, ker sta tako Flaubert kot Čehov sicer napisala kar nekaj zelo zabavnih besedil. Da bi ugotovil, zakaj se je to zgodilo, sem izbrane igre primerjal z nekaj drugimi: s Sternheimovo priredbo Flaubertove komedije, z Wildovo Nepomembno žensko in z dvema zgodnjima burkama Čehova. Rezultati primerjav nakazujejo, da je najverjetnejši vzrok za polom vseh treh komedij neuravnovešen odnos med razumom in nerazumom, ki jih načeloma dela preveč negativne, da bi v njih lahko zares uživali.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.057

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 head0.004
GPT teacher head0.213
Teacher spread0.209 · 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