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Record W3160844446

Nation and Citizenship in the National Kindergarten Curriculum of South Korea

2016· article· en· W3160844446 on OpenAlexvenueno aff
Hong Jun

Bibliographic record

VenueEarly childhood education · 2016
Typearticle
Languageen
FieldComputer Science
TopicEducational Research and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipCurriculumNational curriculumNational identityContext (archaeology)Identity (music)ConsciousnessPedagogyNational educationSociologyNational consciousnessPeriod (music)Political scienceGender studiesPsychologyGeographyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

This study examined changes in the concepts of nation and citizenship as reflected in the National Kindergarten Curriculum documents of South Korea. It examined the seven curriculum revisions that occurred over a 44-year period (1969-2013) in response to national and global changes, focusing on how the concepts of nation and citizenship have been described in the curriculum`s educational goals and contents. This paper discusses the major curriculum strands that have defined national identity in the Korean context in terms of a sense of continuity and boundary. In its attempt to discuss the role of education in the process of constructing national identity as part of the large group consciousness, this study`s findings were consistent with previous literature, which has defined national identity not as a thing, but as a construction, embodying the notions of change and continuity.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.299
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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