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Record W3049232832 · doi:10.1080/19419899.2020.1810745

Radical vulnerability: selfies as a Femme-inine mode of resistance

2020· article· en· W3049232832 on OpenAlex
Andi Schwartz

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

VenuePsychology and Sexuality · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWomen's and Gender Studies et Recherches FéministesYork University
Fundersnot available
KeywordsVulnerability (computing)FemininityResistance (ecology)SociologyPoliticsScholarshipGender studiesEthnographyPsychologyPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

In Western philosophy, vulnerability and femininity have been positioned as subordinate and weak. Reparative readings of selfies can offer a way to reclaim both vulnerability and femininity as generative, connective, and political. In this paper, I examine femme selfies collected during an online ethnography of femme Internet culture on Instagram. I draw from critical feminist scholarship on vulnerability and reparative readings of selfies to argue that selfies are a practice in vulnerability, and therefore a mode of embracing the feminine and feminine resistance. Using visual discourse analysis to read the selected selfies, I argue that femmes strategically mobilise vulnerability via selfies to (re)shape femme identity, create femme communities, and to make political claims about femme lives.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.679
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.087
GPT teacher head0.427
Teacher spread0.340 · 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