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Record W7110917536 · doi:10.5038/2577-509x.9.2.1390

Exploring the foundational pillars of the International Baccalaureate (IB) through pre-service teacher experiences during B.Ed. practica

2025· article· en· W7110917536 on OpenAlexaffabout

Bibliographic record

VenueJournal of Global Education and Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPerceptionCertificateTeacher educationTeacher preparationRelation (database)Semi-structured interviewStudent teacher

Abstract

fetched live from OpenAlex

The International Baccalaureate (IB) is experiencing rapid growth, resulting in demand for IB teachers in both public and independent schools. Since teaching IB requires specific knowledge of the language and pedagogy of the IB programmes, initial teacher education programs are well-positioned to prepare pre-service teachers to teach IB. This paper shares the results of a study conducted following the completion of an IB Educator Certificate by pre-service teachers attending a Canadian initial teacher education program, where their experiences during practica in mostly public IB schools were reflected upon and documented in relation to IB philosophy. Several themes were identified and explored, including IB and the perception of elitism; stress experienced by IB students and teachers; and the variability of programme implementation from school to school and even between subjects within one school. This paper concludes with considerations for new and practicing IB teachers and initial teacher education programs.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.487
Teacher spread0.353 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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