Child and youth engagement: civic literacies and digital ecologies
Bibliographic record
Abstract
With a rise in participatory media, there has been a hopefulness about how networked media spurs on youth leadership and civic engagement, offering opportunities and power to marginalized voices and communities that are historically under-represented. As more communities began to use these networks, and as organizations and institutions began to harness digital media and creative practices for the explicit purpose of empowerment, arguments around the technological determinism and the politics of hopeful futurity began to emerge. In this special issue, international researchers foreground their interpretations of the notion of civic literacies within digital ecologies. As<br/>young people play on the terrain of global mediascapes (Appadurai, 1996), they contribute and shift them, offering us new ways to imagine our lives, creating and transforming what is possible through the contribution of their own narratives, perspectives, and stories. This is especially true in March 2020 when so many young people took to social media to share their COVID-19 anxieties in a time of uncertainty. The special issue goes some way in confronting tensions and urgencies such as racism and political uncertainties of the contemporary moment.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".