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Record W2100784475 · doi:10.1177/1461445612466468

Rhetorical relations in multimodal documents

2013· article· en· W2100784475 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiscourse Studies · 2013
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRhetorical questionPresentational and representational actingComputer scienceNatural language processingCoherence (philosophical gambling strategy)LinguisticsCategorizationSet (abstract data type)Artificial intelligenceSubject (documents)MathematicsWorld Wide WebPhilosophy

Abstract

fetched live from OpenAlex

We present a corpus-based study of coherence in multimodal documents. We concern ourselves with the types of relationships between graphs and tables and the text of the document in which they appear. In order to understand and categorize the types of relations across modalities, we are making use of Rhetorical Structure Theory (Mann and Thompson, 1988), and propose that this can adequately describe these types of relations. We analyzed a corpus comprising three different genres, and consisting of about 1500 pages of material and almost 600 figures, tables and graphs. We show that figures stand in both presentational and subject matter relations to the text, and that the relationship between figures and text is one of a small set out of the larger possible rhetorical relations. We also discuss several issues that arise in the treatment of multimodal material, such as the potential for multiple connections between figure and text.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
Threshold uncertainty score0.365

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 studies0.0000.000
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 head0.027
GPT teacher head0.378
Teacher spread0.351 · 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