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Record W3183294149

Trump vs. Clinton: Implicatures as public stance acts

2020· article· en· W3183294149 on OpenAlex
Chi-Hé Elder

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
FundersYork University
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Within the political sphere, a political actor is often judged by what he or she says, with their verbal performance often perceived as representative of the individual. Hearers accept that, as individuals, they possess a lifetime of experiences and actions which inform, but may also undermine, their aspirations in gaining political capital. Additionally, as representatives of a political party and its ideology, these actors do not exist in isolation; they are members and, at times, potential candidates of a particular party with its own agenda which may, in turn, cause them to modify their personal speech to align with espoused policies of the party. The various contributions contained in this volume examine the discourse of political actors through the lenses of positionality and stance. Throughout its chapters, clearly defined theoretical perspectives and specified social practices are employed, enabling the authors to elucidate how political actors can situate themselves, their party, and their opponents toward their ostensive public. This book successfully demonstrates how espoused perspectives relate to, or reflect on, the nature of the individual political actor and their truth, the party they represent and its ideology, and the pandering to popular public opinion to gain support and co-operation. This book will hold particular appeal for postgraduate students, researchers, and scholars of discourse studies, pragmatics, political science, as well as other areas in humanities and the social sciences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.837
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.047
GPT teacher head0.199
Teacher spread0.151 · 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