MétaCan
Menu
Back to cohort
Record W4323665047 · doi:10.5430/wjel.v13n2p486

The Impact of Studying in the United States on Saudi Students’ Identities

2023· article· en· W4323665047 on OpenAlexvenueno aff
Sulaiman Rashed Abdullah Algofaili

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Identity (music)Affect (linguistics)PsychologyField (mathematics)PedagogySocial psychologyMathematics education

Abstract

fetched live from OpenAlex

This paper reports on the findings of exploring how studying in the United States may impact international students, specifically Saudi students, and how this may affect their identities. The aim of this study is to analyze different types of identities and how each of the Ph.D. students modifies them depending on some factors. For the purpose of this study, ten Saudi Ph.D. students, who were teaching English in Saudi Arabia, took part in the oral interviews and the open-ended questionnaire, which consist of seven questions. Analysis of the data suggests that some factors such as religion, culture, traditions, and education impact Saudi students’ identities and their children’s, and how they are perceived by native speakers of the host country. The study shows the fact that mixed identity has the greatest impact on the students’ self-perspective, and that all participants want their children to preserve their own religion, culture and traditions. Moreover, the study concludes with implications and recommendations in the field of language and identity.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.020
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.358
Teacher spread0.332 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueWorld Journal of English LanguageSame topicSocioeconomic Development in MENAFrench-language works237,207