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Record W1571099580

“You saw me cross the bar”: Masculinity, Disability, and the Western in Guy Vanderhaeghe’s The Englishman’s Boy

2010· article· en· W1571099580 on OpenAlexaffvenue
Nadine LeGier

Bibliographic record

VenueStudies in Canadian Literature · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNarrativeMasculinityMeaning (existential)LiteratureHistoryPsychologyGender studiesArtAestheticsSociology
DOInot available

Abstract

fetched live from OpenAlex

In The Englishman’s Boy (1996), Guy Vanderhaeghe uses Harry Vincent’s congenital limp as a narrative device to critique the construction of masculinity in historical representations of the expansion of the American West. Throughout the novel, the meaning of Harry’s disability shifts as he strives to find a place in the masculine world of Hollywood, and as both Damon Ira Chance and Shorty McAdoo make their own assumptions about him as a disabled man in their desire for narrative control over the story of the Cypress Hills Massacre. Harry destabilizes categories of stock disabled characters by using his disability to advance his career, by pursuing his desire to be true to Shorty’s story, and by ultimately recognizing the importance of narrative truthfulness.

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 score0.625
Threshold uncertainty score0.745

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.036
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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
Published2010
Admission routes2
Has abstractyes

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