Reading as a Need of Today's Students and the Ways of Meeting it
Bibliographic record
Abstract
This article analyzes psychological, pedagogical, and literary aspects of reading needs development. A survey was conducted to identify the ways, means, conditions, goals, and content of reading as a need of today's students. The survey was aimed to find out what ways of obtaining information the students prefer: with the help of gadgets or printed editions, the students’ reading rituals, reading habits (skimming, fractal reading), reading preferences (classical, academic, periodical literature), to determine the main motives that make them read. Special attention was paid to participation in reading clubs, marathons, forums, and visiting libraries.The results of the study showed that students prefer to read paper books, although all use gadgets to find, read and process information; reading as a form of leisure is relevant to most of the surveyed students, it prevails over video games / watching videos, almost all have certain reading rituals; most students do not have such reading habits as fractal reading, skimming, notes, etc. This all shows the necessity for further popularization of reading, visiting libraries as the center of culture, development of positive reading habits and techniques, and involving students participate in reading clubs, forums, and meetings.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".