Bibliographic record
Abstract
Four hundred five college students completed a questionnaire that assessed patterns of Internet use. Results describe college students, with rare exception, as Internet users. The vast majority of college students frequently communicate online and access websites. While an Internet game experience is typical, relatively few college students are heavy online gamers. Overwhelmingly (i.e., 77.8%), college students conceptualized the Internet as a convenience, although 17.8% considered the Internet a source of amusement. Approximately 5% of college students reported negative perceptions of the Internet (frustrating or a waste of time). Principal component analysis revealed three patterns of online behaviour; integrated-Internet-use, games-only use, and dating-only use. Implications for online instructional practice are presented. Résumé : Quatre cent cinq étudiants du niveau collégial ont répondu à un questionnaire mesurant leurs tendances de l’utilisation d’Internet. Les résultats présentent ces étudiants comme des usagers d’Internet, à quelques exceptions près. La grande majorité de ces étudiants utilisent fréquemment les outils de communication en ligne et naviguent sur Internet. Alors qu’une expérience de jeu en ligne s’avère commune, peu d’étudiants du collège s’avèrent être des joueurs en ligne excessifs. Essentiellement (c.à-d. 77,8 %), ces étudiants perçoivent Internet comme une commodité, même si 17,8 % d’entre eux le considère comme une source d’amusement. Environ 5 % ont indiqué des perceptions négatives d’Internet (frustrations ou pertes de temps). L’analyse en composantes principales a révélé 3 tendances de comportements en ligne, l’utilisation intégrée d’Internet, l’utilisation seule de jeux et l’utilisation à des fins de rencontre seulement. On présente des conséquences pour la pratique de l’enseignement en ligne.
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".