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Record W3153351033 · doi:10.26686/wgtn.12839633.v1

加拿大学前儿童公民教育: 时代背景、 内容向度与价值导向 (Young children's citizenship education in Canada: Background, content and values)

2020· preprint· en· W3153351033 on OpenAlexaboutno aff
Peng Xu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipCurriculumEarly childhood educationPoliticsGender studiesIndigenousPolitical scienceSociologyCitizenship educationPedagogySocial scienceLaw

Abstract

fetched live from OpenAlex

Citizenship education for young children has been growingly emphasized by western countries. With the influence of global policy discourses, curriculum reform in early childhood education and studies of young children’s citizenship, citizenship education has become a key aspect in Canadian early childhood curriculum. Based on recent studies, this research forms a theoretical framework for citizenship education, which covers four dimensions of citizenship (political education, social education, subjectivity education and civic practice education). The early learning frameworks in Alberta, British Columbia and Nova Scotia are analyzed through thematic analysis. In general, citizenship education for young children in these three provinces reveal the following features: emphasizing young children’s rights and responsibilities, and advocating young children’s subject positions as citizens; the traditional citizenship is being changed and young children’s participation is highlighted as the root of democracy; young children’s citizenship lies in multiple discursive fields with indigenous perspective emerging.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.110
Threshold uncertainty score0.801

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0120.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.172
GPT teacher head0.360
Teacher spread0.187 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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