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Record W2460609619 · doi:10.29173/css155

Identity and the Forthcoming Alberta Social Studies Curriculum: A Postcolonial Reading

2004· article· en· W2460609619 on OpenAlexvenueaboutno aff
Laura A. Thompson

Bibliographic record

VenueCanadian Social Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCitizenshipIdentity (music)Social studiesSociologyReading (process)Context (archaeology)Social identity theoryPedagogySocial changeCitizenship educationGlobal citizenshipGender studiesSocial sciencePolitical scienceSocial groupPoliticsLawAesthetics

Abstract

fetched live from OpenAlex

Beginning in the early 20th century, the role of citizenship as an organizing concept has been significant in the teaching of social studies. The central aim of the social studies was the production of good citizens, and the main focus of the Alberta social studies curriculum has ultimately become developing responsible citizenship. While citizenship has always been the raison d'tre of social studies, identity has also played an important role in the formation of young citizens. The author's aim in this article is to explore how and in what ways multiple perspectives can be read in the context of the Alberta Junior High social studies curriculum. After examining the evolving concepts of citizenship and identity from the 1970s to the 1990s, she undertakes a postcolonial reading of the forthcoming Alberta social studies curriculum.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.106
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.008
Scholarly communication0.0070.001
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.136
GPT teacher head0.427
Teacher spread0.291 · 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

Citations7
Published2004
Admission routes2
Has abstractyes

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