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Record W4224967052 · doi:10.26522/jiste.v25i2.3667

Living in Transition to Teacher Education in Canada: Personal Reflections and Portraits of Two Vietnamese Female Doctoral Students

2022· article· en· W4224967052 on OpenAlexaffabout
Thuy-Hang Thi Tran, Tram Anh Bui

Bibliographic record

VenueJournal of the International Society for Teacher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsVietnameseNarrativeSociologySociocultural evolutionPortraitSociocultural perspectivePedagogyPersonal narrativeTransition (genetics)Perspective (graphical)BiographyGender studiesPolitical scienceVisual artsArtAnthropology

Abstract

fetched live from OpenAlex

Living in transition while studying teacher education leads to multiple challenges for doctoral students as they situate themselves in the intersections with new sociocultural environments. The navigation process affects their personal and professional self-formation in constructing and reconstructing their multiple identities-making. In this paper, we, two Vietnamese female teachers, examine our life experience transitioning from Vietnamese to Canadian culture while pursuing our doctoral studies. The collaborative autobiography allows us to reflect, retell and relive our stories since we arrived in Canada. Through deconstructing our stories, we were amazed at the resonances of our tensions in new life-making experiences and perspective transformation in learning and conducting research. We hope our experiences are promising to shorten the gap in understanding experiences of those doctoral students composing life in similar education landscapes, which helps ease their difficulties and cultivate their academic and professional achievements. We also contribute more personal, social, cultural, and familial narratives to the dominant institutional narratives of Canadian teacher education.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.069
GPT teacher head0.418
Teacher spread0.349 · 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.

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
Published2022
Admission routes2
Has abstractyes

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