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Record W2112541412 · doi:10.7202/013342ar

The Ribbon and the Rose : Visual Rhetorics Against Violence to Women

2006· article· en· W2112541412 on OpenAlexaffvenueabout
Amanda Goldrick-Jones

Bibliographic record

VenueEthnologies · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsRhetorical questionWhite (mutation)Power (physics)Gender studiesRose (mathematics)SociologyArt

Abstract

fetched live from OpenAlex

After the December 6, 1989 massacre of fourteen young women at Montréal’s École Polytechnique, Canadian women’s anti-violence groups and a now international men’s campaign against men’s violence to women adopted a variety of resonant visual images in commemoration and protest. The striking differences underlying women’s and men’s choices of images also reflect tensions at a rhetorical level about the appropriateness of men speaking out against violence to women. To explore these tensions, this article uses a method of rhetorical analysis that maps associations among “men’s” and “women’s” images, situates these associations within particular social contexts, and suggests some possible effects of these images and their messages on various audiences. While some activists feared that the men’s white ribbon — rather than the women’s rose or other symbols — might dominate the public imagination as a generalized protest against violence to women, a brief joint billboard campaign displaying the white ribbon and the rose side by side represents the possibility of women and men working with and through the power inequalities that exacerbate gender differences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.017
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2006
Admission routes3
Has abstractyes

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