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Record W2333722236 · doi:10.3167/hrrh.2015.410107

E. P. Thompson and the Kitchen Sink or Feeling from Below, c. 1963

2015· article· en· W2333722236 on OpenAlexvenueno aff
Lara Kriegel

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedPoliticsFeelingSociologyAudience measurementAestheticsWorking classContext (archaeology)Class (philosophy)Subject (documents)TasteGender studiesPsychologyMedia studiesSocial psychologyHistoryArtEpistemologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Considerations of E. P. Thompson's The Making of the English Working Class have situated its 1963 publication within political, social, and intellectual contexts. A study of its cultural, emotional, and affective contexts remains lacking. This article locates The Making in the context of an important genre developed, on stage and on screen, at the moment of its publication: the “kitchen sink” dramas written by the so-called Angry Young Men, including Look Back in Anger (1956/1959), A Kind of Loving (1960/1962), and A Taste of Honey (1958/1961). It understands these texts as a collective commentary on loss—the loss experienced by Thompson's working class subject and by his learned readership, too—and assesses the affective dimensions of class beyond Thompson's rendition of class formation. In so doing, it follows on the work of feminist critics and cultural historians who have sought, at once, to augment and challenge the view of class formation that E. P. Thompson was able to provide. Through this engagement, it seeks to extend Thompson's interest in the contours of class formation into a domestic sphere concerned, among other things, with emotional relations, consumer practice, and reproductive politics.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.191
GPT teacher head0.325
Teacher spread0.134 · 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 teacher head, not a consensus.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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