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Record W4301599602 · doi:10.1177/08912432221128545

Weaponized Subordination: How Incels Discredit Themselves to Degrade Women

2022· article· en· W4301599602 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGender & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSubordination (linguistics)AngerMasculinitySocial psychologyPsychologySociologyGender studies

Abstract

fetched live from OpenAlex

In this article, I analyze weaponized subordination, wherein men strategically use their perceived subordinate masculine status to legitimate their degradation of women. I draw on a qualitative analysis of 9,062 comments made on a popular involuntary celibate (“incel”) discussion board. Incels are an online community of men who define themselves by their inability to participate in heterosexual sex/relationships. Incel forums are characterized by self-loathing, anger, and misogyny, with several incels having committed murders (e.g., Elliot Rodger). I first detail the type of subordination incels argue they experience—a social bias in favor of attractive people they call lookism. Next, I explain how incels perceive themselves as permanently subordinated “failed men.” I then demonstrate how incels weaponize their subordination, using their perceived subordinate status to justify their misogyny. Findings are discussed in relation to hybrid masculinity and conceptualizations of subordinate masculinities.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.296
Teacher spread0.249 · 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