Las Ciencias Sociales, Geografía e Historia y el desarrollo de competencias ciudadanas
Bibliographic record
Abstract
Se analiza la propuesta que, sobre el enfoque curricular por competencias, ha realizado el gobierno de la provincia canadiense de Québec. Un modelo que se propone como ejemplo al facilitar el cambio y la adaptación del profesorado hacia el nuevo desarrollo curricular. En él, la enseñanza de las Ciencias Sociales de la Geografía y de la Historia se vincula a la Educación para la Ciudadanía. El alumnado ha de formar su pensamiento crítico y creativo y aplicarlo a la comprensión de su mundo y a la acción social. La enseñanza en el área de Ciencias Sociales, Geografía e Historia ha de dotar a los alumnos y alumnas de instrumentos que les hagan ser más sabios y más autónomos y que les permitan escribir sus propios textos y desarrollar sus propios proyectos además de convertirles en ciudadanos más comprometidos con su mundo y su futuro.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".