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Record W2407802592

Engineering men: masculinity, the Royal Navy, and the Selborne scheme

2015· dissertation· en· W2407802592 on OpenAlexfundno aff
Edward Dodd

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNavyMasculinityHegemonic masculinityScheme (mathematics)HegemonyRelation (database)NewspaperWhite (mutation)Gender studiesEmpireEngineeringLawHistorySociologyManagementPolitical sciencePoliticsComputer science
DOInot available

Abstract

fetched live from OpenAlex

This thesis uses R.W. Connell’s hegemonic masculinity to critically examine the “Selborne Scheme” of 1902, specifically the changes made to naval engineers in relation to the executive officers of the late-Victorian and Edwardian Royal Navy. Unlike the few historians who have studied the scheme, my research attends to the role of masculinity, and the closely-related social structures of class and race, in the decisions made by Lord Selborne and Admiral John Fisher. I suggest that the reform scheme was heavily influenced by a “cultural imaginary of British masculinity” created in novels, newspapers, and Parliamentary discourse, especially by discontented naval engineers who wanted greater authority and respect within the Royal Navy. The goal of the scheme was to ensure that men commanding the navy were considered to have legitimate authority first and foremost because they were the “best” of British manhood. This goal required the navy to come to terms with rapidly changing naval technology, a renewed emphasis on the importance of the role of the navy in Britain’s empire, and the increasing numbers of non-white seamen in the British merchant marine.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.022
Scholarly communication0.0050.003
Open science0.0000.003
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 head0.033
GPT teacher head0.284
Teacher spread0.251 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMemorial University Research Repository (Memorial University)Same topicAustralian History and SocietyFrench-language works237,207