Essais de définition du sémiotique, de la sémiotique et de l’interdisciplinarité
Bibliographic record
Abstract
Abstract This article seeks to define what is semiotic and what isSemiotics. Provided first is a brief presentation of various perspectives of Semiotics. Pursuant to this, we will seek to uncover Semiotics’ particulars by evaluating various approaches. We will commence by framing the definitions of the word “Semiotic” to consider then Semiotics via eight particular anthropic – human-related – levels. This partition, derived by the author from a Rastier typology, defines the following levels: noumenophysical, phenophysical, semiotic, representational (“mental images” and concepts), sens (physical), felt (affects), cognitive other and transcendental. From here, we will consider theplaceof Semioticsamongdisciplines. Finally, the text presents a typology of relationship between disciplines, including semiotics: anadisciplinarity, disciplinarity, valodisciplinarity, intradisciplinary (such as intertheoricity), multidisciplinary, interdisciplinary, transdisciplinary, metadisciplinarity).
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.
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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.043 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| 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".