MétaCan
Menu
Back to cohort
Record W3081018461 · doi:10.31468/cjsdwr.781

A Tardy Uptake

2020· article· en· W3081018461 on OpenAlexvenueno aff
Anne Freadman

Bibliographic record

VenueDiscourse and Writing/Rédactologie · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionAction (physics)SociologyRhetoricSubject (documents)MillerAgency (philosophy)EpistemologyLinguisticsSocial sciencePhilosophyComputer science

Abstract

fetched live from OpenAlex

Following Carolyn Miller’s (1984) definition of genre as social action, subsequent work in the field of rhetorical genre theory has focused on two aspects of her account. The first is the claim that “a genre is a rhetorical means for mediating private intention and social exigence” (Miller, 1984, p. 163). The site of this mediation is now referred to as the subject—a term that is imported from psychoanalysis and critical social theory. I am concerned that the theoretical freight carried by this term—with its claim to address the “big questions” of subjectivity—diverts us from our focus on “how the genre works as rhetorical action” (Miller, 1984, p. 159). I shall replace the subject with the agent, moving then to argue that bringing uptake to bear on agency helps shift the debate to a more strictly rhetorical terrain. The second aspect that has been focused on is exigence: the “social motive” of rhetorical action, “an objectified social need” lying at “the core of situation” (Miller, 1984, pp. 158, 157). I consider an ambiguity at the heart of this concept of exigence between the work it does in accounting for punctual rhetorical action—the genre in actu—and its work in generalizing over some genre in virtu. Because of this, I move to replace exigence with alternative ways of conceiving the site of rhetorical action. Throughout, I accept broadly the framework of Rhetorical Genre Studies. While I seek to solve the problems through a rigorous reliance on rhetoric, I move beyond this frame when I discuss the restrictions on a theory of genre imposed by an exclusive assumption of verbal or discursive acts.

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)0.007
metaresearch head score (Gemma)0.024
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 score0.236
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0080.004
Scholarly communication0.0130.014
Open science0.0030.013
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.2360.109

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 head0.138
GPT teacher head0.376
Teacher spread0.238 · 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

Citations17
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDiscourse and Writing/RédactologieSame topicDiscourse Analysis in Language StudiesFrench-language works237,207