Adolescents' Agentic Work on Developing Personal Pedagogies on Social Media
Bibliographic record
Abstract
Abstract While current research points out that young people are developing emerging culture of learning in informal spaces, less is known about such digital literacy practices in the Asian contexts where the notion of literacy tends to refer to school literacy. Research on young people's online participatory culture continues to suggest that social media offer affinity spaces where extensive knowledge is acquired, constructed and produced outside of schools. In this paper, we use two case studies on social media as illustrative examples to understand how adolescents shape their learning online. We aim to contribute to the ongoing dialectics on social media and learning by examining how adolescents exhibit agency online. We argue that social media such as Facebook offer high learner agency environments for adolescents to participate in self‐initiated enterprise and allow them to develop personal trajectories for learning. The case studies presented in this paper suggested that the adolescents' pursuit of their passions on online affinity spaces gave rise to intellectual friendships and the development of personal pedagogies.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".