MétaCan
Menu
Back to cohort
Record W2921926688 · doi:10.1177/1028315319835531

International Collaborations in the VET Sector: Motivations and Challenges

2019· article· en· W2921926688 on OpenAlexaboutno aff
Yuan Gao

Bibliographic record

VenueJournal of Studies in International Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumInterviewChinaPublic relationsVocational educationInternational educationPolitical scienceSociologyHigher educationPedagogy

Abstract

fetched live from OpenAlex

This study identified the motives for vocational education and training (VET) providers in different countries to collaborate internationally and the challenges they encounter by interviewing 16 teachers, program coordinators, and managers from four VET providers in China and Canada. The findings of this study highlight the difference in primary motives driving VET providers in developed and developing economies to pursue international collaborations. For the former, a commercial approach is prominent, while for the latter, international engagement is more instrumental and developmental in nature. This study also sheds light on the specific barriers such as curricula incompatibility and staff readiness created by the national focus of VET to engage internationally. These findings contribute to a fuller understanding of international collaborations in different national contexts across educational sectors. Furthermore, the employment of the interorganizational relations theory in guiding the investigation enriches the theory by extending its application into educational organizations and exploring how different motives could be interpreted in the educational setting.

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)0.002
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 score0.401
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.146
GPT teacher head0.446
Teacher spread0.301 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Studies in International EducationSame topicGlobal Education and MulticulturalismFrench-language works237,207