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Record W2339510867 · doi:10.3167/hrrh.2016.420109

“And much more I am soryat for my good knyghts”: Fainting, Homosociality, and Elite Male Culture in Middle English Romance

2016· article· en· W2339510867 on OpenAlexvenueno aff
Rachel Moss

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsEliteNobilityGender studiesMasculinityPatriarchyHegemonic masculinityRomanceFaintingSociologyPoliticsPsychologyPolitical scienceLawPsychoanalysis

Abstract

fetched live from OpenAlex

In Middle English romances, public and semi-public displays of emotion are used by elite men to strengthen and promote hegemonic masculinity. This article examines how male fainting, as an act witnessed and sometimes replicated by an audience of men, serves to reinforce homosocial bonds, and to highlight the heroic qualities that make these characters capable of such deep, public sorrow. Late medieval patriarchy is dependent upon the homosocial bonding of elite men, and as such lionizes not only friendship between individual men, but also their collective unity as a body bound by social, political, and emotional ties. Fainting, as a performative act, provides a physical representation of both this collective identity and of specific virtues associated with male nobility.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

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 studies0.0070.019
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
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 head0.044
GPT teacher head0.275
Teacher spread0.231 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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