Herramientas para investigar en la escuela
Bibliographic record
Abstract
Manuales Docentes Colección Maestría de Enfermería Escolar Volumen 10. Herramientas para investigar en la escuela. Departamento de Enfermería. Universidad de Las Palmas de Gran Canaria Como citar esta publicación: APA: Morales-Gázquez, MJ y Hernández-Flores, CN (2025). Herramientas para investigar en la escuela. Manuales Docentes, vol. 10. Colección Maestría en Enfermería Escolar (MM Marrero-Montelongo, GJ Estévez Guerra, MJ Morales-Gázquez y DC Montesdeoca-Ramírez, Eds.). Departamento de Enfermería, Universidad de Las Palmas de Gran Canaria. Vancouver: Morales-Gázquezz MJ, Hernández-Flores CN. Herramientas para investigar en la escuela. Ma-nuales Docentes. vol. 10. Colección Maestría en Enfermería Escolar. Marrero-Montelongo MM, Estévez Guerra GJ, Morales-Gázquez MJ, Montesdeoca-Ramírez DC, editores. Las Palmas de Gran Canaria: Departamento de Enfermería, Universidad de Las Palmas de Gran Canaria; 2025. © del texto: María José Morales-Gázquez Carmen Nieves Hernández Flores © de la edición: Editores: María Magdalena Marrero Montelongo Gabriel Jesús Estévez Guerra María José Morales Gázquez Daniela Celia Montesdeoca Ramírez Departamento de Enfermería. Universidad de Las Palmas de Gran Canaria Primera edición digital, 2022 Segunda edición digital, 2025 ISBN: 978-84-09-681000-6
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.040 |
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".