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Reflection and Intercultural Competence Development

2019· reference-entry· en· W2937779247 on OpenAlexaff
Luciara Nardon

Bibliographic record

VenueOxford Research Encyclopedia of Business and Management · 2019
Typereference-entry
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsCarleton University
Fundersnot available
KeywordsIntercultural competenceIntercultural relationsPsychologyIntercultural communicationCultural diversityReflection (computer programming)Cultural competenceCompetence (human resources)PedagogySocial psychologySociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Increasing levels of cultural diversity requires a system of higher education structured to facilitate intercultural learning and develop individuals who are prepared to work in a culturally diverse environment, and can make decisions and manage people cognizant of cultural differences. Three main approaches to facilitate intercultural learning in the classroom have emerged: transfer of cultural knowledge, cultural experiences, and reflection on experience. Each of these approaches has a role to play at different stages of intercultural development. Three stages of intercultural development are proposed: (1) Monocultural stage, referring to a stage in which individuals are unaware of cultural differences; (2) Cross-cultural stage, in which individuals recognize and understand cultural differences but lack behavioral skills to deal with them; and (3) Intercultural stage, in which individuals can draw on a repertoire of behaviors to influence and shape intercultural interactions in ways that facilitate understanding and create opportunities for cooperation. Reflection on experience is proposed to be particularly useful to support the development of intercultural competence. Reflection is a thinking process focusing on examining a thought, event, or situation to make it more comprehensible and to learn from it. A four-step reflection process is proposed: (1) Describe experience; (2) Reflect on experience; (3) Learn from experience; and (4) Apply learning. Suggestions on using reflection in the classroom are proposed.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.081
GPT teacher head0.379
Teacher spread0.298 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2019
Admission routes1
Has abstractyes

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