“You don't feel that you're so far away”: Information sharing, technology use, and settlement of international student immigrants
Bibliographic record
Abstract
ABSTRACT While immigrants and international students' information behavior and practices are known, less is understood of their online information sharing, associated use of information and communication technologies (ICTs), and the roles of these technologies in their settlement. We conducted semi‐structured interviews with 20 international students to help fill this gap. We find international students' ICT use and information sharing shares similarities and differences with other students and immigrants; a set of settlement barriers and helps associated with ICTs; and clear roles for ICTs in supporting the informational, social, and emotional needs of international students. Transferable findings fill existing gaps in our knowledge of international student immigrants' use of ICTs and online information sharing; can inform LIS research and practice in facilitating their successful settlement through informational, sociotechnical, and emotional lenses; and encourage further work to confirm and expand on our findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".