Bibliographic record
Abstract
Phaneroscopy and semeiotic study two entities with distinct modes of being : the phaneron and the sign. Each consists in a continuum, one of first intention, the other of second intention, the latter lying within the former. Peirce sought to solve the question of the passage from one to the other since the time of his first publication ‘Upon a New List of Categories’. The mature writings reveal the important role the notion of image plays in this transition. Peirce indeed develops a pragmatic conception of image that turns the latter into the fundamental ingredient of the concrete experience of signs. An image in this sense is not a drawing or a picture, but at first a logical concept with a mathematical basis that helps explain the psychological phenomenon. The image is at the junction between the percept (phaneral element) and the perceptual judgment (the most elementary kind of semiotic event) through the percipuum, and it can be observed through a special kind of activity called iconoscopy. I shall present those properties of the image that allow it to govern the transition between phaneron and sign, and clarify in what sense Peirce could assert that images ‘instigate to judgment’.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.039 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".