MétaCan
Menu
Back to cohort
Record W4401955553 · doi:10.1080/15363759.2024.2392273

International Students’ Stories of Pandemic Self-Isolation: Perspectives at a Christian University

2024· article· en· W4401955553 on OpenAlex
Dieu Hack‐Polay, Dannie Brown

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueChristian Higher Education · 2024
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsCrandall University
Fundersnot available
KeywordsPandemicChristianityIsolation (microbiology)PedagogySociologyPsychologyMathematics educationCoronavirus disease 2019 (COVID-19)Religious studiesPhilosophyMedicine

Abstract

fetched live from OpenAlex

This research aims to examine the experiences of international students taking courses during the COVID-19 pandemic amidst lockdowns, self-isolation, and the closure of international borders. We interviewed 15 students, mainly from South Asia, attending university in Atlantic Canada who could not return to their countries of origin before the travel restrictions were imposed. The findings expose major mental health issues the stranded international students faced and the impact on their well-being as well as educational attainment. The study has implications for mental health support systems in Christian universities but has also revealed that Christian compassion was a key coping mechanism for affected students. To the authors’ knowledge, this study is the first to examine the experience of international students left stranded by COVID-19 restrictions in Atlantic Canada.

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.

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 score0.387
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.403
Teacher spread0.367 · 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