Beyond Visual Metaphor: A New Typology of Visual Rhetoric in Advertising
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.
Bibliographic record
Abstract
The goal of rhetorical theory is always to organize the possibilities for persuasion within a domain and to relate each possible stratagem to specific desired outcomes. In this article we develop a visual rhetoric that differentiates the pictorial strategies available to advertisers and links them to consumer response. We propose a new typology that distinguishes nine types of visual rhetorical figures according to their degree of complexity and ambiguity. We then derive empirically testable predictions concerning how these different types of visual figures may influence such consumer responses as elaboration and belief change. The article concludes with a discussion of the importance of marrying textual analysis, as found in literary, semiotic and rhetorical disciplines, with the experimental methodology characteristic of social and cognitive psychology.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it