Estudio crítico: Martin Kusch <i>A Sceptical Guide to Meaning and Rules. Defending Kripke's Wittgenstein</i>, Montreal and Kingston, Ithaca, McGuill-Queen's University Press, 2006
Bibliographic record
Abstract
En nuestro estudio procederemos en tres etapas. En la primera, presentaremos el desafío del Wittgenstein de Kripke de una manera lo más neutral que se pueda. En la segunda presentaremos las características más notables trabajo de Kusch. En la tercera parte rebasamos los límites más estrictos de un comentario crítico para proponer una hipótesis propia acerca de la manera en la que la interpretación de Kusch permite comprender el vínculo de la propuesta de Kripke con la discusión clásica acerca del lenguaje privado como así también la discusión clásica permite realizar algunas observaciones críticas acerca de la propuesta de Kusch.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.007 | 0.014 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".