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Record W2965531745 · doi:10.5539/mas.v13n8p176

Determining the Challenges Faced by Syrian Refugees Students at Jordanian Camps According to Their Perspective: A Case of Universities Role to Supporting

2019· article· en· W2965531745 on OpenAlexvenueno aff
Luma Fakhir AbduRazak, Reda Salamah AL Mawdieh, Asaad Ali Karam, Abdulsalam Yousef Aljaafreh, Mohammed Elias Al-Azzaw

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeSyrian refugeesPerspective (graphical)DocumentationPolitical scienceFace (sociological concept)SociologyPublic relationsPedagogyMedical educationEconomic growthMedicineSocial scienceLaw

Abstract

fetched live from OpenAlex

This study aimed to identify the most important challenges facing the Syrian refugee university students in Jordan camps, and the universities’ role in supporting them from their perspective, by providing answers to the following questions: What are the challenges that facing the Syrian refugee university students in Jordanian camps from their perspective? And what kind of support could Jordanian universities provide for the Syrian refugee university students from their perspective? This study employs a quantitative and qualitative approach and intends to explore the challenges and opportunities for Syrian refugee students in Jordan. The results show that the large number of Syrian Refugee University Students at Jordanian camps present challenges for local communities in meeting the needs of both the refugees and the host universities. Refugees face multiple challenges in Jordan:(1) Financial shortcomings; (2) legal issues including lack of documentation and restrictive host country policies; (3) Psychological and Family challenges. Findings of the study add to the understanding of the vital role of higher education in improving living conditions and giving a sense of hope for the future. The study offers policy and program recommendations to decision- and policy-makers for the national and international communities, donors and other institutions with the overall goal to improve and guide further practice and research in supporting access to higher education.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.498

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 communication0.0000.000
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 head0.019
GPT teacher head0.348
Teacher spread0.329 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

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