Towards an Ideal Model of Education for Critical Citizenship. An Analysis of the Spanish Curricular Change in Social Sciences
Bibliographic record
Abstract
ABSTRACT In this study, we analysed the presence of citizenship education in the new Spanish social sciences curriculum, focusing on both the primary and secondary education stages. The relevance of the study stems from the need to adapt to a new reality, in which it is crucial to develop in children and young people the skills to understand, interpret and make critical decisions. Considering the model outlined as ideal, and being aware of the difficulty involved in achieving it, we took as a reference a possible model to analyse the Spanish curriculum, the ICCS study framework. The research presented is based on a review of policy documents and analyses the curricula of compulsory education stages through a content analysis technique. The results show that in the Spanish curriculum, under the logic of the ICCS framework, cognitive skills and citizen content are more prevalent than those based on attitudes and engagement. This issue prompts us to reflect on the future changes that should be made to approach the model we consider relevant.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".