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Record W7133086669

Radical Women? Investigating Gender Disparities and Women’s Representation on the European Radical Right

2024· dissertation· W7133086669 on OpenAlexaff
Maria Sigridur Finnsdottir

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRadical rightVotingPoliticsPolitical radicalismRepresentation (politics)InequalitySocial inequality
DOInot available

Abstract

fetched live from OpenAlex

Recent decades have seen an electoral resurgence of radical right parties in Europe. The increase in support for these parties has raised new and important questions about women’s role in radical right politics, as supporters, politicians, and leaders. I take up multiple aspects of gendered inequality on the radical right in Europe and find that women continue to be marginalized and tokenized on the radical right. My first dissertation paper examines the gender gap in radical right support in the Nordic nations – where, despite international reputations as gender egalitarian welfare paradises, the radical right has seen significant electoral success. Using data from the European Social Survey, and logistic regression decomposition analyses, I find that the gender gap in voting is largely driven by gender differences in anti-immigrant sentiment. I argue that anti-immigrant politics serve as a double-edged sword for the radical right, attracting some segments of the population and repelling others. My second paper investigates the normalization of gendered inequality on the radical right on social media. While social media has served as a powerful tool for political underdogs, including radical right parties, women’s experiences online are still deeply gendered. I analyse data scraped from the twitter accounts of Rassemblement National politicians with negative binomial regression analyses and a thematic analysis. I find that not only is the offline gender inequality of the radical right normalized online, but women on the radical right are held to strict gendered stereotypes on social media and are rewarded when they comply with these same stereotypes. Finally, I examine women radical right politician’s relative network positions in legislative contexts. Through a network analysis of parliamentary motion co-authorship, I find that radical right politicians are less cooperative and productive than politicians of other parties. This sheds light on why, even as these parties have made electoral gains, their legislative efforts have met mixed results. Unlike women in mainstream parties, the women of the radical right are less well-connected than their men cohorts. I argue that radical right women politicians experience a dual marginalization: as women in radical right politics, and as radical right politicians.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.362
Teacher spread0.316 · 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
Published2024
Admission routes1
Has abstractyes

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