Una apología de las posturas funcionalistas del progreso científico
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Alexander Bird (2007) afirmó que la ciencia progresa cuando muestra “acumulación de conocimiento justificado”. Para validar su postura, Bird contrastó sus ideas con los conceptos sobre el progreso científico construidos por Thomas S. Kuhn y Larry Laudan, respectivamente. El objetivo de Bird fue mostrar que el criterio de “resolución de problemas” defendido por estos autores, es regresivo y, por ello, anti-intuitivo. En este texto analizo los argumentos de Bird en contra de Kuhn y Laudan y muestro en qué fallan. Posteriormente evalúo su postura a partir de sus propios fundamentos epistemológicos. Al final, presento algunas conclusiones que pueden inferirse del presente estudio.</p>
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it