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Record W7118172709 · doi:10.23977/infkm.2025.060212

Unknown in Alien—A Study of the Ethnic-Exclusive Group Socialization among Undergraduate Chinese International Students and the Conflict between Chinese and Canadian Interaction Order behind It

2025· article· W7118172709 on OpenAlexaboutno aff
Zhaoyu (Steven) Chen

Bibliographic record

VenueInformation and Knowledge Management · 2025
Typearticle
Language
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationPhenomenonOrder (exchange)Qualitative researchGroup (periodic table)

Abstract

fetched live from OpenAlex

In this paper, I will describe the qualitative community study I have conducted for the SOCI 382 course I have been attending. The first part of the paper will be an introduction to the community and my research objectives. This would be followed by a brief literature overview of previous research related to my research interest. The third part of this paper will discuss the specific methodologies I employed for this qualitative research. Next, I will present the major findings of this study and discuss their implications. I believe that my themes have provided possible explanations of the challenges international students face, as I have attempted to use a systematic view of sociology to interpret this phenomenon rather than from a more practical angle.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0200.014
Scholarly communication0.0060.005
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.363
Teacher spread0.343 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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