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Record W2792954614 · doi:10.3138/utq.87.1.196

The Militarized Shape-Shifter: Authorized Violence and Military Connections as an Antidote to Monstrosity

2018· article· en· W2792954614 on OpenAlexvenueno aff
Karalyne Lowery

Bibliographic record

VenueUniversity of Toronto Quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceFantasyIdeal (ethics)LawChivalryAssociation (psychology)Sexual assaultHistoryLiteratureSociologyAestheticsCriminologyPhilosophyPolitical scienceEpistemologyArtPoison controlSuicide preventionMedicine

Abstract

fetched live from OpenAlex

This article explores the idea that monstrosity can be negated through association with a military force. Using the ideas of authorized violence and justum bellum along with an exploration of the foundations for American confidence in their military forces and the historical use of heroic, chivalric shape-shifters, the article discusses how shape-shifters with these ideals allow a heroic figure to emerge despite the violent actions he or she might perpetrate. The article uses ancient texts, military laws and oaths, military philosophies, animal behaviour texts, urban fantasy, science fiction, and paranormal romance to show how shape-shifters' association with noble causes and military affiliations allows authorized violence and has resulted in a militarized heroic shape-shifter ideal.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.249
Teacher spread0.241 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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