Digital detox of the youth (on the example of social networks)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article considers practices of using virtual social networks and attitudes of the student and working youth to the digital detox under the influence of objective and subjective factors (age, social status, competitiveness, social trust). The research was conducted with the survey of students (high school, vocational and higher education) and working youth in the Tyumen Region. The sample consisted of 10th-11th grade students (N=1130), university students (N=1097) and working youth (N=942). The results show that the main purpose of using social networks is to get new information (81%), entertaining video- and audio-content (72%); only 32% of students satisfy their educational needs. When getting older, the intensity of the youths search for identity decreases together with the desire to keep ones social status in the virtual reality. The high school students show the highest level of readiness for digital detox for a short period (84%), the long-term detox is more typical for the working youth (32% vs. a quarter in two other groups). The lower the level of the general social trust, the easier respondents choose digital detox from social networks. The results of the survey prove the following trend in using virtual social networks: those who accept a day detox are rarely ready for a month detox; those who accept a week detox from virtual communication consider it quite realistic to extend it to a month.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it