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Record W3109192878 · doi:10.5267/j.msl.2020.11.001

A study on the relationship between acculturation and ethno-cultural identity in Saudi Arabia

2020· article· en· W3109192878 on OpenAlexvenueno aff
Ansa Salim

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
FundersPrince Sattam bin Abdulaziz University
KeywordsAcculturationIdentity (music)MainstreamPsychologyCultural identitySocial psychologySociologyEthnic groupPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

This research study aims to find out the relationship between Acculturation and Ethno-cultural identity among the working-class people in Saudi Arabia. The study examines and tries to understand the impact of culture and involvement of ethnocultural identity. Data were collected using convenient sampling from 128 employed expatriates from Saudi Arabia through an online survey questionnaire. The questionnaire had two sub-categories, such as mainstream and heritage. The findings will have multiple practical implications, as the study has explored the relationship between acculturation and ethnocultural identity. The data was collected using a convenient sampling method from 128 working-class expatriates in different sectors of Saudi Arabia. A hypothesis was set to find out the significance of the relationship among respondents. Correlation, regression, and ANOVA tests were used to analyze the data. The implications of the research and scope for future research were are also explained thoroughly in this study. The study found a significant moderate positive relationship between acculturation and ethnocultural 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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.131
GPT teacher head0.368
Teacher spread0.237 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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