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Record W4323660914 · doi:10.1080/14680777.2023.2186253

The politics of veiling and unveiling

2023· article· en· W4323660914 on OpenAlex
Azra Rashid

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

VenueFeminist Media Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsJohn Abbott College
Fundersnot available
KeywordsPoliticsLawState (computer science)SociologyGovernment (linguistics)IslamPolitical scienceGender studiesMedia studiesHistory

Abstract

fetched live from OpenAlex

The murder of Mahsa Jina Amini has galvanized a movement for women’s rights and freedom in Iran. Translating political movements and their slogans is often a daunting task, as identities, histories, and struggles are not easily translatable cross-culturally. This movement, too, has provoked frenzied sentimentalism and “feel good” social media activism from celebrities and politicians. From celebrities cutting their hair on social media, to politicians and right-wing activists and leaders denouncing the Islamic regime, the focus of the protest seems to have been lost in the west. The discourse in the west is lacking a critical analysis of the politics of veiling and unveiling in western countries. This commentary points out that the movement spearheaded by Iranian women and schoolgirls is against state coercion. It further argues that reframing the discourse to focus on the protest as being against state control, instead of hijab, will be a more useful way forward for feminist movement globally.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.059
GPT teacher head0.345
Teacher spread0.286 · 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