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Record W2006089916 · doi:10.1080/10668926.2013.865003

Increasing Participation in Study Abroad Programs: Organizational Strategies in Quebec CEGEPs

2014· article· en· W2006089916 on OpenAlexaffabout
Olivier Bégin‐Caouette, Véronique Angers, Kimon Niflis

Bibliographic record

VenueCommunity College Journal of Research and Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversité LavalUniversity of Toronto
Fundersnot available
KeywordsEmployabilityStudy abroadKnightVocational educationHigher educationInternationalizationPolitical scienceMission statementPopulationPsychologyPublic relationsPedagogySociologyBusiness

Abstract

fetched live from OpenAlex

International experience is said to promote students’ intercultural sensitivity, employability and academic achievement; yet few community college students go abroad during their studies. This study aims to identify which organizational strategies are related to the participation rate in study abroad programs (SAPs). Taking the case of Quebec general and vocational colleges (CEGEPs [collèges d’enseignement general et professionnel]), a group-frequency analysis was performed on data obtained through a survey to which 39 CEGEPs responded (81% of the population). Using Knight’s (1999, 2004) terminology of organizational strategies, findings reveal that institutions with higher participation rates use four strategies to a greater extent: institutional commitment towards internationalization; educative mission statement referring to SAPs; international offices; and funding offered to students who participate in SAPs. A standard regression confirms that commitment and funding are positively correlated with student participation rates.

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)0.025
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.106
GPT teacher head0.495
Teacher spread0.389 · 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.

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

Citations6
Published2014
Admission routes2
Has abstractyes

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