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Record W4401937537 · doi:10.20355/jcie29612

Support Services at a Francophone University in Quebec: Contrasting Viewpoints of Chinese International Students and University Professionals

2024· article· en· W4401937537 on OpenAlexaffvenueabout
Roberta Soares, Marie‐Odile Magnan, Yifan Liu, F.D. Melo

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of TorontoUniversité de Montréal
Fundersnot available
KeywordsViewpointsFrenchPolitical scienceLibrary scienceSociologyHumanitiesArtComputer scienceVisual arts

Abstract

fetched live from OpenAlex

This qualitative study showcases the viewpoints of Chinese international students and university professionals about the services offered at a francophone university in Montreal regarding “welcoming” and “integration.” Semi-directed interviews were conducted among 22 participants, of which 14 were students and 8 university professionals. Using the concept of care, we conducted a thematic analysis. According to the analysis, students mention the lack of effective support, while university professionals discuss the support offered and its pitfalls. In terms of recommendations, we stress the importance of tackling current structural issues rather than putting the responsibility for the quality of the experience on students’ shoulders. We also emphasize that professionals who provide services directly to students must be given proper training and resources through universities to enable them to change the current paradigm and offer services that reflect the concept of student care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0160.008
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0020.002
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 head0.014
GPT teacher head0.376
Teacher spread0.362 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes3
Has abstractyes

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