Bibliographic record
Abstract
Semiótica Visual, Quebec, 14-2 1 de octubre. ABsr1AcrThe subject ofsynaesthesia is ofa very high semiotic concern.It is generally defined as a phenomenon by which stimuli of different sensory modes are asso ciated by means ofsome kind ofperceptual similarity.For this reason, this kind ofassociation generally falls within the domain oficonicity.Accounts ofthis phe nomenon can be traced back to Aristotle, who analyzes the analogies between color andflavor, and smell and taste.This paper deals specfically with the sen sorial associations between color and sound, that is, the kind ofsynaesthesias that make a certain link between visual and auditory signs.Among the semioticians, we found mentions of this specific aspect of synaesthesia in Peirce, Jakobson, Veltrusky, Parret, and Zilberberg, just to mention a few.This article offers an overview on the subject, andpresents the results ofa survey that shows the psycho logical correlations between the dimensions of sound (pitch, loudness, timbre, duration) and those ofcolor (hue, lightness, saturation, area).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".