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Record W4406873293 · doi:10.1111/ejed.70010

Towards an Ideal Model of Education for Critical Citizenship. An Analysis of the Spanish Curricular Change in Social Sciences

2025· article· en· W4406873293 on OpenAlexaff
Elisa Navarro‐Medina, E. Wayne Ross, Noelia Pérez‐Rodríguez, Nicolás de-Alba-Fernández

Bibliographic record

VenueEuropean Journal of Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of British Columbia
FundersUniversidad de Sevilla
KeywordsCitizenshipIdeal (ethics)Citizenship educationSociologyPedagogyCritical theorySocial changePolitical scienceMathematics educationSocial sciencePsychologyLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.103
GPT teacher head0.445
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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