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Record W2185676304 · doi:10.36510/learnland.v8i1.675

Taking Action in Teacher Education: Social Studies as a Means of Cultivating Engaged Citizenship

2014· article· en· W2185676304 on OpenAlexafffundvenueabout
Theodore Michael Christou

Bibliographic record

VenueLEARNing Landscapes · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsQueen's University
FundersUniversity of TorontoQueen's University
KeywordsCivicsAction (physics)Social studiesPedagogyCurriculumCitizenshipSubject (documents)SociologyCitizenship educationDisciplineGovernment (linguistics)Political scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Social Studies was introduced into the Ontario curriculum in 1937, integrating history and geography, but also various matters pertaining to law, government, and civics, as a means of focusing students’ attention on the world around them thoughtfully and critically. Informed by the past, students were directed to gaze upon the future and to take action within their communities. Civic engagement and Social Studies were very closely linked. This essay argues that Social Studies education has a particular role to play in teacher education, as a medium of cultivating meaningful experiences relating to contemporary life and as a means of exploring the disciplinary roots of the subject. Teacher education is explored as a site for "take action" projects, which relate citizenship, historical thinking, and social action.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.164
GPT teacher head0.426
Teacher spread0.262 · 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 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
Published2014
Admission routes4
Has abstractyes

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