L'article de recherche scientifique: Capacités rédactionnelles requises des étudiants en
Bibliographic record
Abstract
El desarrollo de la escritura en la investigación constituye una de las tareas más relevantes en la formación superior, particularmente, el género artículo de investigación científica conlleva desafíos para el investigador novel. El objetivo de este estudio es interpretar las habilidades requeridas para su elaboración en estudiantes de maestría en Educación en Ecuador. En cuanto a la metodología, se encuadra en el paradigma interpretativo a través del método hermenéutico; respecto al instrumento, se aplicaron encuestas y entrevistas a estudiantes y docentes que participaban de una práctica colaborativa de escritura. Como resultados, se observa un escaso dominio por parte de maestrantes tanto de estrategias argumentativas con las cuales poder asumirse como sujetos investigativos como de recursos metodológicos; además, se evidencia la necesidad de realizar prácticas discursivas situadas desde el inicio de la carrera de posgrado que permitan garantizar la comunicabilidad de la ciencia y el fortalecimiento de revistas del área.
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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 | 0.134 | 0.246 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.041 | 0.027 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.014 | 0.013 |
| Insufficient payload (model declined to judge) | 0.018 | 0.009 |
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".