Español y práctica textual desde la narrativa: “Una estrategia pedagógica para mejorar las competencias linguísticas en castellano”
Bibliographic record
Abstract
Ante los bajos resultados en las competencias linguisticas obtenidos por estudiantes de primero primaria en las ultimas pruebas censales del Ministerio de Educacion Nacional, el presente estudio se propuso evidenciar como la practica textual desde la narrativa consolida la construccion de dichas competencias. La muestra esta compuesta por 25 estudiantes (14 ninas y 11 ninos) de primero de primaria, quienes dejaron registros orales y escritos de su participacion en las intervenciones de practica textual desde la narrativa. Dichos registros fueron categorizados y analizados a la luz de las teorias linguisticas de Tolchinsky (1993), Ferreiro y Teberosky (1979), recomendadas por los Lineamientos Curriculares de Lengua Castellana. De este modo, se evidenciaron los avances de los ninos y ninas en su proceso de construccion de las competencias linguisticas. Asi, este estudio permitira, de una parte, confirmar o no los resultados de investigaciones precedentes y, de otro lado, aportar pistas pedagogicas para avanzar en el mejoramiento de las competencias linguisticas del estudiantado de primero de primaria.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".