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Record W2067689688 · doi:10.1558/lhs.v3i1.3

Breast Cancer Narratives as Public Rhetoric

2008· article· en· W2067689688 on OpenAlexaff
Judy Z. Segal

Bibliographic record

VenueLinguistics and the Human Sciences · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNarrativeIgnoranceRhetoricSociologyAction (physics)AestheticsSocial functionMedia studiesEpistemologyLinguisticsLiteratureSocial scienceArtPhilosophy

Abstract

fetched live from OpenAlex

This paper explores questions of the permissible and the impermissible in breast cancer narratives. It deploys (inter alia) a theory of discourse and counterdiscourse to argue that the genre itself of the personal narrative performs a regulatory function in public discourse on cancer. The paper is inspired by an idea introduced into science studies by Schiebinger and Proctor—the idea of agnotology: the cultural production of ignorance. The paper argues that ignorance about cancer is maintained, in part, by the rehearsal of stories that have standard plots and features, and that suppress or displace other stories. The paper turns on examples of both conventional and unconventional stories. It focuses on Barbara Ehrenreich’s renegade cancer story and its public reception, and Wendy Mesley’s renegade cancer television documentary and the public reception of that. The paper seeks to contribute to genre studies by analyzing instances of a genre of public discourse, and suggesting the nature of the social action performed by the genre itself.

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)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.014
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0090.027
Scholarly communication0.0140.014
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.118
GPT teacher head0.314
Teacher spread0.196 · 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 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

Citations39
Published2008
Admission routes1
Has abstractyes

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