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Record W4382239000 · doi:10.32674/jis.v14i2.5186

Exploring International Graduate Students’ Experiences, Challenges, and Peer Relationships

2023· article· en· W4382239000 on OpenAlex

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

VenueJournal of International Students · 2023
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMentorshipSocializationPsychologyPeer mentoringPsychosocialHigher educationGraduate studentsAcademic achievementSocial isolationPedagogyMedical educationSocial psychologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

As the number of international students in higher education continues to grow, so do concerns regarding systemic obstacles, discrimination, and social isolation that can impede students’ academic success. Peer mentorship has been shown to support graduate students through academic socialization and achievement in higher education (Lorenzetti et al., 2019). The purpose of this study was to explore the transitional experiences of international graduate students, and the extent to which peer-mentoring relationships can support academic and emotional well-being. Researchers interviewed 13 international graduate students from 3 professional faculties at a research-intensive Canadian university. International students described academic and intersectional challenges experienced while navigating and adapting to new environments and how these impacted both academic outcomes and students’ well-being. Relationships with peers were viewed as an essential means by which students could access academic and psychosocial supports necessary to adjust to and thrive in their new educational and cultural environments.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.158
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.397
GPT teacher head0.433
Teacher spread0.036 · 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