The Acculturation Orientation of International Student Centres Analysed Using Bourhis’ Interactive Acculturation Model (Iam)
Bibliographic record
Abstract
This paper uses Bourhis’ Interactive Acculturation Model (IAM) to analyse the type(s) of dominant host acculturation orientation(s) espoused by the International Student Services Offices at the University of Toronto, York University, and Ryerson University through their International Student Services webpages. The multilevel structure of the IAM model allows the researcher to consider the multiple spheres in which the students exist: macro level government policy, the city in which the university is located, their experience on campus. To guide this analysis, the researcher followed a thematic constructionist approach to capture important content from the data that could be used to respond to this question. After the coding process five key themes were identified based on their prevalence in the data and their utility in answering the research question (Braun and Clark, 2006). The host orientation of all three International Student Services webpages is found to be predominantly one of integration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".