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Record W7117125264 · doi:10.1177/01634437251400651

Tradwives, it’s not (leftist) feminism you dislike, it’s capitalism! Rereading Harry Braverman alongside the discombobulated politics of social media tradwives

2025· article· en· W7117125264 on OpenAlexaff
Meaghan Furlano

Bibliographic record

VenueMedia Culture & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsPoliticsChampionMonopolyFeminismCapitalismPower (physics)Social mediaCapital (architecture)

Abstract

fetched live from OpenAlex

This article examines what I call the discombobulated politics of the tradwife, a popular social media aesthetic embraced by women who champion “traditional” Western gender norms, the nuclear family, and pronatalism. Tradwives have become formidable cultural figures due to their vast audiences, ties to far-right politics, and ability to mobilize around widely shared emotions. I understand their politics as discombobulated insofar as they advance a false cause for a social world that can be more accurately explained through established social scientific frameworks, such as those advanced by Harry Braverman in his 1974 book Labour and Monopoly Capital . In this article, I identify recurring tradwife critiques of “feminism” and use Braverman’s analysis to rebut these misframings, redirecting attention to the true structural driver of discontent: monopoly capitalism. By disentangling tradwives’ animus toward “feminism” and relocating it within the dynamics of capital (or a “feminism” that is really capitalism in disguise), this article provides a more precise account of the forces contributing to the contemporary anti-feminist backlash. It concludes that while tradwives often identify real social problems, the emancipatory impetus that would otherwise steer them toward left-wing politics is subverted by the malevolent actors of what Naomi Klein calls the Mirror World.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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