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Record W2407057278 · doi:10.7202/1036436ar

How do Catalan Students Narrate the History of Catalonia When They Finish Primary Education?

2016· article· en· W2407057278 on OpenAlexvenueno aff
Edda Sant, Neus González Monfort, Antoni Santisteban Fernández, Joan Pagès Blanch, Montserrat Oller Freixa

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanNarrativeNormativeRelevance (law)HistoryNarrative inquirySociologyLiteraturePolitical scienceHumanitiesArtLaw

Abstract

fetched live from OpenAlex

In this article we analyze how a group of Catalan students (aged 11-13, N = 245) narrate the history of Catalonia and we compare their narratives with the official Catalan narrative. From an interpretative approach, we collect data by requiring the students to write down what they remember about the history of Catalonia. The research is conducted by means of narrative analysis and normative content analysis. Our results suggest that most students’ narratives are similar to the official narrative in terms of the main characters and events selected and follow the patriotic national narrative by highlighting the relevance of Catalan national symbols. We discuss the implications of this patriotic national narrative in Catalonia and elsewhere, and we propose replacing patriotic national narratives with humanistic world history narratives.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.370
GPT teacher head0.438
Teacher spread0.069 · 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.

Study designNot applicable
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

Citations29
Published2016
Admission routes1
Has abstractyes

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