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Record W7064527756

Beyond Acculturation and Resilience: International Students Navigating Shame and Self-Concept

2023· article· en· W7064527756 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Crossing (Liberty University) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationShameStudy abroadSociocultural evolutionInternational educationPsychological resilienceCultural diversitySample (material)Higher education
DOInot available

Abstract

fetched live from OpenAlex

This study highlights the unique experiences of international students while they pursue higher education, manage adjustment issues, and navigate internal struggles. To explore whether English proficiency and family expectations correlate with self-concept and acculturation resilience, this study focused on the acculturation process, incorporating aspects of shame and self-concept that contribute to a student’s motivation and resilience. International students commonly face academic and personal challenges while adjusting to an environment that requires fluency in English. Additionally, many experience the pressure of high expectations from their families in their countries of origin. This study used a sociocultural approach to explore how international students’ interactions, cultural practices, and belief systems influence their adjustment process while they are living and studying in Canada or the United States. A sample of 69 postsecondary international students completed the External and Internal Shame Scale, the Family Almost Perfect Scale, the Personal Self-Concept Questionnaire, and the Acculturation and Resilience Scale. Initiatives associated with campus counseling programming were reviewed along with administrative strategies for student services that demonstrate cultural awareness and address more effectively the needs 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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.280
Teacher spread0.271 · 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
Published2023
Admission routes1
Has abstractyes

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