International students in Australia, employability and cultural competence
Bibliographic record
Abstract
In this chapter, we discuss the literature relating to international students in Australia and their employment experience. Relevant studies from other countries such as the USA and Canada are also reviewed, given the similar challenges faced by international students in those countries. This chapter does not specifically concentrate on issues related to international students’ learning outcomes. Initially, the literature’s key search terms included employability, international students in Australia, international students’ employment experiences and cultural competence. This search also then allowed the researchers to review the related literature such as international students’ connectedness and identity, or international students and immigration. A total of 68 items were reviewed: 48 peer review articles, 5 research reports, and 15 items that include books, book chapters and media articles. Of the 68 items:\n\ntwenty-eight peer review articles focus on international students’ employment and cross-cultural interacting experiences in Australia,\n\nsix peer review articles discuss international students’ related experiences in the USA and Canada,\n\nfive reports exclusively concentrate on international students and their work experience in Australia, and\n\nfourteen peer review articles centre on the cultural competence concept.\n\nResearch data was analysed inductively and thematically, which allowed an identification of important emerging themes. As a starting point, the concept of cultural competence is introduced. An overview of international students and their employability challenges in Australia is then discussed. Next, the dimensions of cultural competence that can assist international students in becoming more employable when looking for work in Australia are presented.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".