An Investigation of the Role of the Internet in Leisure Time Activities of Razi University Students
Bibliographic record
Abstract
In communication age, the Internet is presently seen as the most important phenomenon, and is accordingly regarded as one of the most influential means of communication used by university students. By the advent of the Internet in the field of education and the new communicative situations emerging, social systems shall undoubtedly witness significant alterations in how the youth spend their free time. For students to effectively utilize the tools on the web, their current free time internet usage habits should first be realized. This Research familiarizes us with the quality and quantity of students’ internet usage in their free time. The purpose of this paper is to analyze the role and position of information technology at Razi University students’ leisure time. Statistical society of this research is the 8563 students from the five faculties that are located on the university’s main campus and are internet users in the University’s IT center in the second semester of 2010- 2011 educational year. Key words: Razi university; Internet; Mass Media; Information Exchange. Resume En ere de la communication, l’Internet est actuellement considere comme le phenomene le plus important, et est donc considere comme l’un des moyens les plus influents de communication utilises par les etudiants universitaires. Par l’avenement de l’Internet dans le domaine de l’education et les nouvelles situations de communication emergents , les systemes sociaux sont sans aucun doute assister a des modifications importantes dans la facon dont les jeunes passent leur temps libre. pour les etudiants a utiliser efficacement les outils sur le web, leurs habitudes actuelles de libre utilisation de l’Internet en temps doivent d’abord etre realise. Cette recherche nous familiarise avec la qualite et la quantite de l’utilisation d’Internet des etudiants dans leur libre dans le temps. Le but de cet article est d’analyser le role et la position de technologie de l’information au moment de loisirs Razi etudiants de l’Universite ». La societe de statistique de cette recherche est les 8563 etudiants des cinq facultes qui sont situes sur le campus principal de l’universite et sont utilisateurs d’Internet dans le Universite de TI centre au second semestre de l’annee 2010-2011 educatif. Mots-cles: Universite de Razi ; Internet ; Les medias ; Echanges d'informations
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".