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Record W3035614729 · doi:10.1177/0013124520928602

Indirect Effect of Economic, Social, and Cultural Status on Immigrant Students’ Science Performance Through Science Dispositions: A Multilevel Analysis

2020· article· en· W3035614729 on OpenAlexaboutno aff
Safiye Bilican Demir, Özen Yıldırım

Bibliographic record

VenueEducation and Urban Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsnot available
Fundersnot available
KeywordsScientific literacyImmigrationMultilevel modelEthnic groupLiteracyPsychologyScience educationMathematics educationAcademic achievementSociologyPedagogyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Determining the ethnic differences in academic performance among immigrant students is important in terms of adapting them into the system they live in. Examining the variables related to students’ performance will be a guide in overcoming the issue. The purpose of this study is to examine the direct effect of economic, social, and cultural status (ESCS) on science performance and the indirect effect of ESCS on the relationship between science dispositions and science literacy in Canadian immigrant students using hierarchical linear modeling. Data were obtained from Program for International Student Assessment (PISA) 2015 science literacy test and student questionnaire and data sets were provided from the official website of PISA. The results of the research show that ESCS had a direct and indirect effect through science dispositions with medium to large on science performance of immigrant students. The impacts of significant variables were discussed and implications for further research were provided.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.022
GPT teacher head0.375
Teacher spread0.353 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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