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Record W4395116290 · doi:10.32674/jis.v14i3.6107

International Student Agency in Emergency

2024· article· en· W4395116290 on OpenAlexaff
Aliya Kuzhabekova, Zhuldyz Amankulova

Bibliographic record

VenueJournal of International Students · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAgency (philosophy)PsychologyStudy abroadPedagogyMathematics educationSociologyMedical educationMedicine

Abstract

fetched live from OpenAlex

This qualitative study uses data from interviews with 20 recipients of a Kazakhstani “Bolashak” scholarship to explore how international students overcome structural barriers and manifest agency in the conditions of public health emergency. The analysis addresses the gap in the scholarly literature on agency of international students by explicitly focusing on manifestations of agency in the experiences of students from Kazakhstan, who have not yet received sufficient attention in research, and by following the students in a variety of country destinations. In addition, in contrast to the majority of studies conducted in the past, instead of recruiting students on a campus of a specific university or in the context of a single country, this study recruits participants from among recipients of a government-sponsored scholarship. The findings are interpreted with the help of Relational Ecological Theory of Agency.

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 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 score0.065
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.029
GPT teacher head0.446
Teacher spread0.417 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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