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Record W2990709997 · doi:10.1177/2096531119890143

Decision-Making Process of International Undergraduate Students: An Exploratory Narrative Inquiry into Reflections of Chinese Students in Canada

2019· article· en· W2990709997 on OpenAlexaboutno aff
Hantian Wu

Bibliographic record

VenueECNU Review of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsOriginalityDimension (graph theory)Process (computing)NarrativeChinaConstruct (python library)Exploratory researchDecision-makingSocioeconomic statusValue (mathematics)Mathematics educationPsychologyPolitical scienceSociologyEngineeringQualitative researchComputer scienceSocial scienceMathematicsOperations management

Abstract

fetched live from OpenAlex

Purpose: This research is an exploratory narrative inquiry into reflections of three Chinese international undergraduate students in a Canadian university, University S, which reveals participants’ entire decision-making processes as potential international undergraduate students. Design/Approach/Methods: A two-dimensional analytical framework has been constructed. One dimension is based on three phases of the entire decision-making process: the phases of deciding whether or not to study abroad, selecting destination countries, and choosing target institutions. The second dimension is based on three kinds of hypothetically proposed environmental factors within each phase: policy factors, (family and regional) socioeconomic factors, and information factors. First-hand data were collected through semi-structured interviews conducted based on the analytical framework. Findings: This article suggests that both policymakers in the source country (i.e., China) and university administrators in the destination country (i.e., Canada) should further support potential international undergraduate students during each phase of their decision-making processes, particularly through optimizing information supply channels. Originality/Value: This article has the potential to construct a new theoretical framework as a supplement for analyzing the entire decision-making process of potential international students. As a pilot study, it provides a template for further investigations.

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)0.001
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 score0.634
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.032
GPT teacher head0.470
Teacher spread0.438 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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