Postpostdramske reinkarnacije klasičnih tragedij: Jelinek, Hertmans, Möderndorfer
Bibliographic record
Abstract
Tudi za postpostdramski čas je značilno spogledovanje s ključnimi formami svetovne dramatike, kot so antične in elizabetinske tragedije, ter z njihovimi temami, ki jih aplicira na popolnoma sodobne probleme. Izmed mnogih besedil je mogoče izbrati tri: Die Schutzbefohlenen Elfriede Jelinek, Antigona v Molenbeeku Stefana Hertmansa ter Romeo in Julija sta bila begunca Vinka Möderndorferja. Poleg razmerja do antike povezuje vse tri drame še tematska rdeča nit: migracije ter z njimi povezane nesrečne usode beguncev. Izkaže se, da je edina optimistična različica te teme nastala pri Ajshilu, vse tri sodobne drame pa bi bilo mogoče brez težav uvrstiti med tragedije. Takšna je drama Jelinekove, ki je nastala po resničnem dogodku iz leta 2012, ko je skupina migrantov protestno vdrla v Votivno cerkev na Dunaju in zahtevala zase in za sebi podobne človeka dostojno azilno obravnavo. Jelinek izkaže ves etični razkroj Evrope, ki se skriva za visokoletečimi ideali človekoljubja, dejansko pa ravna prav nasprotno. V tem primeru gre za razmerje med migranti, ki so pravi tujci, in pa Evropejci. Tujca, ki je že polnopraven državljan Evrope, predstavi Hertmans, le da svojo »Antigono« zaplete še s klasično zgodbo pokopa mrtvega brata, ki je v tem primeru terorist. Ta Antigona je še vedno tujka, a tudi že državljanka Evrope. Zadnji korak v tej smeri naredi Möderndorfer, ki pa kot migrante, torej kot tujce, obravnava ekonomsko ogrožene Evropejce. Nobena od treh dram nima izhoda in slehernikova usoda se konča tragično.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".