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Record W7134702320

Fighting for What is Right: A Rhetorical Analysis of the Fan Campaign to Save <em>Anne with an E</em> from Cancellation

2023· article· W7134702320 on OpenAlexaboutno aff
Marie E. Anderson

Bibliographic record

VenueOpen PRAIRIE (South Dakota State University) · 2023
Typearticle
Language
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionTheme (computing)RhetoricConversationRhetorical criticismCriticismPersuasionFantasyHeadline
DOInot available

Abstract

fetched live from OpenAlex

The Anne with an E fan campaign highlighted storylines of social issues that fans felt were important for society. Of particular interest to the fan community was a storyline from the series in which Anne and her friends organized a protest following incidents of sexual assault and censorship aimed at silencing girls from speaking out on gendered issues. This storyline was heavily referenced in the billboards that the fan-based campaign displayed in Toronto and New York City (Anne Nation, 2020). In this analysis, I used fantasy theme analysis (Bormann, 1972) and metaphorical criticism (Osborn, 2018) to conduct a visual and textual rhetorical analysis of billboard advertisements from the campaign in conversation with the television episodes that the billboards referenced. The billboards were found to contain visual rhetoric and metaphors that represented Anne’s feminist values as a rationale for the fan-based community’s own rhetorical vision, which emphasized fighting for what is right and making their voices heard. I conclude with implications, limitations, and future directions for research of fan-based campaigns as part of social movements.

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)0.000
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 score0.345
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.009
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.278
Teacher spread0.240 · 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
Published2023
Admission routes1
Has abstractyes

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