International Students’ Perceptions of their Information Seeking Strategies
Bibliographic record
Abstract
This study explored the information needs and information seeking strategies of ten Asian graduate students at the University of Tennessee, Knoxville, Tennessee. Both quantitative and qualitative methods provided students’ assessment of their use of information and communication technologies (search engines, Internet, library website, OPAC, online databases) to make recommendations for…Cette étude explore les besoins informationnels et les stratégies de recherche d’information de dix étudiants asiatiques de 3e cycle de l’Université du Tennessee (Knoxville, Tennessee). Des méthodes quantitatives et qualitatives offrent une évaluation des étudiants de leur utilisation des technologies de l’information et des communications (moteurs de recherche, Internet, sites web de bibliothèques, catalogues interrogeables et bases de données en ligne) afin de faire des recommandations pour améliorer les services d’aide à l’information et les procédures d’apprentissage multiculturelles des participants.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".