El Pragmaticismo en el análisis de los Collected Papers de C. S. Peirce con Provalis Research
Bibliographic record
Abstract
Este artículo presenta los resultados obtenidos a través del uso de herramientas informáticas (Provalis Research), también conocidas como CAQDAS (Computer Assisted Qualitative Data Analysis Software), para el análisis de los escritos de Peirce, las bases estadísticas de una cronología para su último periodo intelectual y la justificación de una posible periodización del Pragmaticismo, además de la descripción de ciertos descubrimientos realizados en nuestro trabajo de archivo sobre los documentos y manuscritos originales de Peirce. Este trabajo es una parte de nuestra investigación en la Universidad de Quebec en Montreal (UQAM) y la Biblioteca Houghton de la Universidad de Harvard.
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How this classification was reachedexpand
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".