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Digital detox of the youth (on the example of social networks)

2020· article· en· W3085658507 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRUDN Journal of Sociology · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationQuarter (Canadian coin)PsychologySocial network (sociolinguistics)Social mediaMedical educationPedagogyComputer scienceWorld Wide WebMedicine

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.115

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.272
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it