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Record W1997142759 · doi:10.1080/02607476.2014.956540

A narrative of teacher education in Canada: multiculturalism, technology, bridging theory and practice

2014· article· en· W1997142759 on OpenAlexaffabout
Edward R. Howe

Bibliographic record

VenueJournal of Education for Teaching International Research and Pedagogy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsTeacher educationPedagogyCurriculumNarrativeBridging (networking)MulticulturalismSociologyMulticultural educationCitizenshipNarrative inquiryPolitical scienceLaw

Abstract

fetched live from OpenAlex

AbstractThis narrative paper investigates a number of enduring and emerging themes reflecting teacher education in Canada over the past 40 years, including changes in information and communication technology, bridging gaps in theory and practice, English as a second language, French immersion and multicultural teacher development. Canadian teacher education programmes have become famous for their long-standing commitment to public education and social welfare. This paper examines the way in which over the past four decades such a commitment has led to effective leadership, multiculturalism, racial tolerance and global citizenship education, as well as comprehensive curriculum, teaching and learning, all figure prominently in Canadian teacher education.Keywords: Canadateacher educationmulticultural educationtechnologynarrative inquiry AcknowledgementsI am grateful for the assistance from Dr Dianne Stevens and Susan London McNab in providing me with additional teacher stories and for connecting me with other teachers in Ontario. The names of others are hidden to protect their identities.

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)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.097
GPT teacher head0.517
Teacher spread0.420 · 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

Citations20
Published2014
Admission routes2
Has abstractyes

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