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From Winnie Back to Prometheus: on the Similarities and Differences between Happy Days and Prometheus Bound

2010· article· en· W2138332259 on OpenAlexvenueno aff
Zhihua Ai

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicSamuel Beckett and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsArtDramaHumanitiesLiteratureTone (literature)Philosophy

Abstract

fetched live from OpenAlex

Happy Days is a typical absurdist drama written by Samuel Beckett. It is extreme in its use of symbols, comedic in its tone, and devastating in its implications. Structurally, it has much in common with Prometheus Bound, one of the oldest Greek tragedies written by Aeschylus. However, Happy Days is still considered Beckett’s extreme exploration on how much the theatre can do without and still be a theatre. This essay focuses on the similarities and differences between Happy Days and Prometheus Bound, and aims at finding the unique artistic feature of Happy Days. Key words: Happy Days, Prometheus Bound, similarities, differences Resume: Happy Days de Samuel Beckett est une piece absurde par excellence, dans leque l’utilisation des procedes symbolistes et la creation de l’effet comique sont tres reussies. De plus, cette piece revet une portee profonde. Sur le plan de la structure, il existe beacoup de similitudes entre elle et Prometheus Bound d’Aeschylus adapte d’apres la mythologie grecque. Cependant, Happy Days est une tentative hardie de Beckett dans l’essei de theâtre. L’article present analyse essentiellement les similitudes et les differences entre ces deux grandes oeuvres afin de decouvrir les caracteristiques artistiques et le charme de Happy Days. Mots-Cles: Happy Days, Prometheus Bound, similitudes, differences

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: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0070.006
Open science0.0000.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.269
Teacher spread0.179 · 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
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
Published2010
Admission routes1
Has abstractyes

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