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Record W7001234292

The Injured Man – Made and Unmade: 
\nPhysical Trauma and Masculinities in Britain and America from the Fin de Siècle to the Post-War Period
\n

2020· dissertation· en· W7001234292 on OpenAlexaboutno aff

Bibliographic record

VenueDurham e-Theses (Durham University) · 2020
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinityFacet (psychology)Work (physics)FeminismCultural studies
DOInot available

Abstract

fetched live from OpenAlex

This thesis considers the work of Robert Louis Stevenson, J. M. Barrie, W. H. Davies, D. H. Lawrence, Ernest Hemingway, and William Faulkner, exploring how each writer uses physical damage to the male body as a vehicle through which cultural concerns with models of masculinity can be exercised; and these models differ, given the fourty-five year gap between the publication date of the first novel examined (Treasure Island, 1883) and that of Chapter 3’s primary focus, Lady Chatterley’s Lover (1928). The breadth of this timeframe allows for a comprehensive study of somatically damaged men at crucial periods in British history and, in the case of the post-war period, of Anglo-American culture as a whole. \nMany of the injured bodies focused upon in this thesis have received plentiful scholarly attention, yet there remains an absence of critical material which places these bodies as a central facet of their respective texts, rather than as supplementary motifs. This study pays particular attention to the importance of these bodies with regards to masculine identity, offering a fresh insight into the works of the aforementioned authors. \n

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: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.018
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.190
Teacher spread0.174 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

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