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Record W7095148130

BIOGRAPHICAL SKETCH

2009· article· en· W7095148130 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHERONarrativeGeorge (robot)Ideal (ethics)SketchQueerPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines the proliferation of weak or damaged male characters in the mid-nineteenth-century novel. A number of new literary types appeared on the scene in the novels of the 1850s, including the self-made man, the public schoolboy, and the muscular Christian. Because novelists sought to represent ideal types rather than idiosyncratic individuals, silent exemplars rather than effusive characters, authors needed a way of narrating the story of the hero without undermining his exemplarity. They did so by pairing the strong man with a weak friend who elicited emotions from the silent hero of these novels. The pairing of the strong man with the weak man led to a variety of narrative effects, including the juxtaposition of the ennui of the sickroom with active labour, and an emphasis on domesticity, sentimentality, and sympathy. The homoerotic friendships of the weak man and the strong man offered a queer perspective on the home and the increasingly industrialized workplace that sought to standardize men’s bodies. The novels of Charles Kingsley, Thomas Hughes’s Tom Brown’s Schooldays, Dinah Mulock Craik’s John Halifax, Gentleman, and Charlotte Yonge’s The Heir of Redclyffe all engage this narrative strategy. George

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.596
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4040.264

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 head0.014
GPT teacher head0.202
Teacher spread0.188 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2009
Admission routes1
Has abstractyes

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