Sucesión de sumas parciales como proceso iterativo infinito: un paso hacia la comprensión de las series numéricas desde el modelo APOS
Bibliographic record
Abstract
A la luz de las dificultades que conlleva el aprendizaje de las series numéricas, en este artículo nos centramos en uno de sus componentes que aparecen explícitamente en su definición como límite de una sucesión de sumas parciales: la sucesión de sumas parciales como proceso iterativo infinito. A partir de la descomposición genética de este concepto, se han analizado las respuestas de dos grupos de alumnos de primer año universitario y se han encontrado manifestaciones de distintas concepciones acción y proceso en los dos grupos. Las diferencias entre los modos de conocer las sucesiones de sumas parciales de estos grupos revelan la importancia de algunos elementos matemáticos clave para la comprensión de las series numéricas.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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; 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".