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Waking (for) the Nation: Immaterial Materialism and the Feminine Body in Tom Murphy’s The Wake (1998)

2021· article· en· W3177946782 on OpenAlexaff
Moonyoung Hong

Bibliographic record

VenueÉtudes irlandaises · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsTrinity College
Fundersnot available
KeywordsMaterialismAestheticsBourgeoisieSociologyCapitalismMateriality (auditing)PsychoanalysisGender studiesLiteraturePoliticsArtPhilosophyEpistemologyPsychologyLaw

Abstract

fetched live from OpenAlex

The paper examines Tom Murphy’s play The Wake and the significance of its staging as part of the Abbey Theatre’s 1916 centenary “Waking the Nation” programme. The play critiques the process by which various elements of capitalism – in particular materialistic culture, bourgeois morality and hypocrisy – combine to commodify, repress and eliminate the human body. Murphy suggests that the pitfalls of materialism point to the ironic truth that it denies the substantive materiality to our bodily existence. The female body in particular is continually subjected to violence and exploitation. By dramatising the emotional consequences of this immaterial materialism through the lens of a marginalised female émigré and sex worker, the play contests and subverts the woman / nation figurations in the context of Irish literary, theatrical and cultural imagination. The meaning of the wake ritual is revisited and experienced as a temporary celebration of theatre as community.

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)0.002
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.035
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.293
Teacher spread0.269 · 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
Published2021
Admission routes1
Has abstractyes

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