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Record W3206949830 · doi:10.11575/prism/769

The experience of studying abroad and returning home to Canada

2006· dissertation· en· W3206949830 on OpenAlexaboutno aff
Shanika Fridhandler

Bibliographic record

VenuePRISM (University of Calgary) · 2006
Typedissertation
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsStudy abroadPsychologyPedagogy

Abstract

fetched live from OpenAlex

The overarching goal of this study was to illuminate the lived experience of studying abroad and returning to Canada. Also of interest was how this experience influenced students' personal identity, worldview, and plans for the future. Six participants shared their experience studying abroad in Mexico and discussed the meaning(s) that this experience held for them. A phenomenological research methodology was employed and five categories with twenty-two themes emerged. Data were considered from the perspective of various models of cross-cultural adaptation, cross-cultural learning, culture shock, and reverse culture shock. The findings suggested that participants experienced significant transformations in their personal identities, worldviews, and cross-cultural competence. Furthermore, the findings illustrated the challenges of returning home and underscored the importance of developing and implementing re-entry preparation and support programs to assist with this segment of the study abroad experience. This study supplements the existing literature with an intimate and vivid description of what it is actually like to study abroad and return to Canada.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.108
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0290.012
Scholarly communication0.0080.002
Open science0.0020.007
Research integrity0.0020.005
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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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