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Record W4407396590 · doi:10.32674/yw8hgx97

Effect of a training program on the psychological, cultural, and social alienation experienced by foreign students in Jordan

2025· article· en· W4407396590 on OpenAlexaff
Feras Ali Mohammad Al-Habies, Alean Al-Kernawi, Somaya Abdel-Hameed Ateeq Al-Ja’afreh, Wafa Ali Mahmoud Alwani, Omar Ismail Hamzeh Alorani, Diya Ahmad Al-Jaloudi, Omar Abdallah Khawaldeh

Bibliographic record

VenueJournal of International Students · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsAlgoma University
Fundersnot available
KeywordsAlienationPsychologySocial psychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

In this study, we examined the effectiveness of an educational training program in reducing psychological, cultural, and social alienation among international students. A total of 73 undergraduate students from diverse nationalities participated in the study. The training program comprised six seminars delivered over three weeks, with two lectures conducted weekly. Topics covered included Jordanian culture and traditions, academic procedures, students' rights and responsibilities, support services, local geography, financial management, and safety. Pre- and post-program assessments utilized validated tools to measure levels of alienation. Findings revealed a significant reduction in social and cultural alienation, underscoring the program's success in fostering social connections and cultural understanding. However, an unexpected increase in psychological alienation was noted, highlighting the need to address psychological challenges more effectively. These results emphasize the importance of comprehensive orientation programs tailored to mitigate all dimensions of alienation, ultimately enhancing the overall well-being of international students.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.110
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.056
GPT teacher head0.475
Teacher spread0.419 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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