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Record W4415701735 · doi:10.14324/herj.22.1.24

Never the two shall meet? Connecting historical and democratic consciousness in Canadian K-12 history textbooks

2025· article· en· W4415701735 on OpenAlexaffabout
Sara Karn, Kristina R. Llewellyn, Penney Clark

Bibliographic record

VenueHistory Education Research Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsDemocracyArticulation (sociology)ConsciousnessHistorical thinkingPolitical historyJurisdiction

Abstract

fetched live from OpenAlex

This article explores the intersections of historical and democratic consciousness in education, drawing on data from a study of history textbooks in Canada. We conducted a holistic analysis of 18 history textbooks published between 1994 and 2021, authorised for use at the elementary/middle school or secondary level in each provincial jurisdiction within Canada. The findings demonstrate that while many textbooks make assumptions that knowing more about the past leads to the creation of better citizens, historical and democratic consciousness are not fully developed and are largely disconnected from one another. We also found significant differences in the presence and articulation of historical and democratic consciousness between the oldest and more recently published textbooks, with more recent textbooks engaging with history in ways that promote the development of both historical and democratic consciousness. If we are to support students in becoming historically informed civic leaders in the present and into the future, we argue that all history textbooks authorised for use in Canada must pay greater attention to the connections between historical and democratic consciousness.

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)0.007
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.181
GPT teacher head0.444
Teacher spread0.264 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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