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Record W2792945052 · doi:10.5539/elt.v11n4p70

Albee’s Plays in the Light of Psychological Theories

2018· article· en· W2792945052 on OpenAlexvenueno aff
Kadhim Hatem Kaibr, Guo Jingjing

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDreamInsanityAnxietyIllusionSocial psychologyFace (sociological concept)PsychoanalysisPsychotherapistCognitive psychologySociologySocial science

Abstract

fetched live from OpenAlex

Albee’s plays are known for highlighting the daily suffering of American individuals and the material pressures exerted upon them by the “American dream” project, which pushes them into choosing between fulfilling their material requirements in exchange for the supreme human values and social relations that bind their community and refusing to face their reality in favor of retreating to a world of illusion. Albee’s plays have also touched upon the themes of suicide, departure, anxiety, insanity, fear of death, and fear of the unknown. Many critics and analysts have linked the premises in his plays with psychoanalytical theories that analyze the behavior and the relationship of individuals to their communities. This paper will attempt to focus on certain psychological theories that can explain the state of anxiety and sense of loss experienced by the theatrical characters created by Albee in three of his prominent plays.

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)0.002
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.025
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.337
Teacher spread0.301 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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