The Roles of Digital Literacy in Social Life of Youth
Bibliographic record
Abstract
This chapter contains findings related to social aspects of digital activities of youth. Computers, mobile devices, and the internet are increasingly used in everyday social practices of youth, requiring competencies that are largely still not being taught in schools. To thrive in the digital era, youth need to competently use digital tools and define, access, understand, evaluate, create, and communicate digital information. Being able to develop perceptions of, and respect for, social norms and values for functioning in the digital world, without compromising one's own privacy, safety, or integrity is also important. After addressing the social prospects of information and communication technology (ICT) use among youth, this chapter describes their online behavior through the paradoxical nature of the internet (i.e., providing opportunities for social development vs. introducing risks). Educators and youth services are advised to consider these factors in designing flexible, innovative, and inclusive programs for young people that use ICT.
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How this classification was reachedexpand
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 | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.478 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".