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Record W4409282014 · doi:10.18192/olbij.v14i1.6763

Pedagogy of care in intercultural approaches to languages education

2025· article· en· W4409282014 on OpenAlexaffvenue
Kelle L. Marshall, Wendy D. Bokhorst‐Heng

Bibliographic record

VenueOLBI Journal · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsCrandall University
FundersPepperdine University
KeywordsPedagogySociologyPsychologyLinguisticsMathematics educationPhilosophy

Abstract

fetched live from OpenAlex

Disruptions caused by the COVID-19 pandemic revealed in new ways the vulnerabilities of students’ sense of self, especially in the contexts of intercultural orientations to language education where critical self-reflection can be disorienting for learners. We propose a pedagogy of care to manage such decentering, aiding the formation of caring communities of practice and development of student flourishing. Our data derives from a teacher education course on intercultural orientations to language education and mediation, taught virtually in 2020. We analysed email exchanges between the professor and students and transcribed Zoom class sessions to examine the instructor’s pedagogy based on Noddings’s ethics of care. We identify six components within the instructor’s pedagogy: relationship; motivational displacement; person in context; flexibility; engrossment; mentality of care. Students’ expressions of reciprocity suggest possibilities for their own adoption of care and flourishing. We propose that a caring and compassionate approach to pedagogy can be instrumental in mediating a space where students might develop not only intercultural competencies but also a positionality of care.

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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.046
GPT teacher head0.307
Teacher spread0.262 · 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
Published2025
Admission routes2
Has abstractyes

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