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Record W1553246155

National Identity and the Ideology of Canadian Multicultural Picture Books: Pre-Service Teachers Encountering Representations of Difference

2009· article· en· W1553246155 on OpenAlexaffabout
Ingrid Johnston, Joyce Bainbridge, Jyoti Mangat, Rochelle Skogen

Bibliographic record

VenueCanadian Children's Literature / Littérature canadienne pour la jeunesse · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsMulticulturalismIdentity (music)IdeologyMulticultural educationSociologyGender studiesPedagogyCultural identityNational identitySocial sciencePolitical scienceAestheticsArtLaw
DOInot available

Abstract

fetched live from OpenAlex

In lieu of an abstract, here is an excerpt from this article: Since texts written for children and young adults both mirror cultural attitudes and play a part in acculturating young readers, we decided to explore the extent to which contemporary multicultural Canadian picture books may act as sites for interrogating shifting understandings of nationhood and identity. We pursued our investigation by means of a study involving students in the Faculty of Education at the University of Alberta. One of the central aims of the study was to consider how these future teachers responded to literary representations of Canadian identity and how they planned to incorporate their understandings of multiculturalism in their future teaching.

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)0.003
metaresearch head score (Gemma)0.009
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0360.021
Scholarly communication0.0140.004
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.213
Teacher spread0.206 · 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

Citations6
Published2009
Admission routes2
Has abstractyes

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