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Record W4413185671 · doi:10.1093/isagsq/ksaf066

An Intersectional Feminist Critique of Cyberlibertarian’s Grip on the Construction of Online Freedom

2025· article· en· W4413185671 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

VenueGlobal Studies Quarterly · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsIntersectionalityGender studiesSociologyAestheticsArt

Abstract

fetched live from OpenAlex

Abstract The impacts of online hate speech include emotional and embodied harms that have sometimes stunted careers, resulted in lost wages and missed job opportunities, and damaged relationships (both personal and professional). Despite the real-world negative impacts of digital hate speech, many resist regulations that would mitigate these harms. What is behind the anti-regulatory stance against preventative measures to reduce online hate speech? We argue that similar to the “there is no alternative” to neoliberalism argument, which demonizes regulation and pushes traditionalism, the gendered construction of cyberlibertarianism presents online freedom as the only game in town, at least when it comes to online hate. We adapt Horton’s three-part framework of neoliberal masculinities to stress the role of gender in constructing various understandings of cyberlibertarianism. Through an intersectional feminist critique of cyberlibertarianism rooted in cyberfeminism and a critical feminist cybersecurity construction of online freedom, this paper adds to feminist cybersecurity and cyberfeminism by demonstrating how such approaches can counter cyberlibertarianism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.352
Teacher spread0.327 · 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