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Record W4306839747 · doi:10.32674/jcihe.v14i4.4183

Total Wellness of Turkish International Students: Perceptions and Inherent Growth Tendencies

2022· article· en· W4306839747 on OpenAlexaff
Mehmet Avcı, Rómulo Esteban Montilla

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsSt. Mary's University
Fundersnot available
KeywordsTurkishAcculturationAutonomyPsychologyCompetence (human resources)PerceptionSocial psychologyMedical educationMedicinePolitical scienceEthnic group

Abstract

fetched live from OpenAlex

Research on the international students mostly focuses on adjustment and acculturation issues rather than building and maintaining wellness of specific cultural groups of international students. This study used basic psychological needs involved in self-determination theory to investigate the relationship between autonomy, competence, and relatedness needs, self-determined way of functioning, and wellness of Turkish international students in the U.S. Data was collected before Covid-19 pandemic using a self-administered survey from 179 (71 females) Turkish international students with a mean age of 29.7 years. The results indicated that the perceived total wellness of Turkish international students was slightly low. The results of regression analyses revealed that autonomy, competence, and relatedness are positive and significant predictors of Turkish international students’ wellness. Furthermore, Turkish international students with a greater self-determined way of functioning report higher level of wellness. We recommend culture specific implications and further research to maintain international students’ wellness in their sojourn.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.403
Teacher spread0.359 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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