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Record W7104377838 · doi:10.55016/ojs/jet.v1i58.81348

Inspecting the Impact of the International Baccalaureate (IB) Educator’s Certificate on Pre-Service Teacher Development Using Actor Network Theory

2025· article· W7104377838 on OpenAlexaff

Bibliographic record

VenueJournal of educational thought. · 2025
Typearticle
Language
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPracticumActor–network theoryTeacher educationGeneral partnershipCertificateStudy abroadInternational educationActivity theory

Abstract

fetched live from OpenAlex

Abstract: The International Baccalaureate (IB) is one of the fastest-growing education systems globally, resulting in increased demand for trained and qualified IB teachers. This demand has resulted in initial teacher education programs offering IB Educator Certificates (IBEC) in partnership with IB to both pre-service and in-service teachers. This study explores the impact of the IBEC on pre-service teacher development through discussions of global competencies. Two groups of participants, one who completed IBEC and one who did not, are compared. Data were collected in group interviews immediately following practicum and were explored using Actor Network Theory. Initial teacher education programs were considered complex networks with various human and non-human actants contributing to teacher development and identity. This study concludes that IBEC does impact pre-service teacher development and offers suggestions for initial teacher education programs offering external certifications, such as IBEC, to pre-service teachers.

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)0.006
metaresearch head score (Gemma)0.013
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.001
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 head0.080
GPT teacher head0.412
Teacher spread0.331 · 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 routes1
Has abstractyes

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