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Record W2945094718 · doi:10.1108/ijem-05-2018-0156

School-aged children and decisions for studying abroad in Canada

2019· article· en· W2945094718 on OpenAlexaffabout
Merli Tamtik

Bibliographic record

VenueInternational Journal of Educational Management · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReputationOriginalityStudy abroadContext (archaeology)ChinaMulticulturalismQuality (philosophy)PsychologyValue (mathematics)PerceptionEmpirical researchInternational educationPublic relationsMedical educationPedagogyHigher educationPolitical scienceEconomic growthSociologySocial psychologyGeographyMedicineSocial scienceEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine parental and students’ decisions regarding participating in K-12 level study abroad programs in Manitoba, Canada. Design/methodology/approach The study reports on data collected through document analysis and semi-structured interviews with 18 international students and 14 parents. Findings The findings suggest that the key factors influencing decisions are perceptions of enhanced career prospects, changing global environments and broadened post-secondary education choices. Country-specific factors include quality and safety of the learning environment, multiculturalism and reputation associated with the country and people. Research limitations/implications The participants were primarily students and parents from the EU countries associated primarily with horizontal mobility. Experiences of students from the main sending countries (China, South Korea and Japan) might differ. Practical implications The results are relevant to educational managers in designing high-quality international programs and recruitment agents. Originality/value The study adds important empirical evidence to the limited research that has been conducted on study abroad experiences at the K-12 level. It is one of the first in the Canadian context. It provides unique perspectives in USA and Canada comparisons for study abroad of school-aged children.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.353
Teacher spread0.332 · 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 designObservational
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

Citations8
Published2019
Admission routes2
Has abstractyes

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