Kids R Us: Online Social Networking and the Potential for Empowerment
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
Our paper examines the dynamic of surveillance and empowerment from a theoretical perspective, identifies illustrative empirical examples, and perhaps most importantly investigates the practices that maximize the empowerment potential and minimize threats to that potential.In particular, we seek to understand the ways in which young people have adopted or adapted online media in order to deepen their social experiences, build community, and resist measures that seek to limit their online speech and access to information.We posit that there are four different models of the relationship between surveillance and empowerment in the context of young people on social networking sites (SNS).We introduce each of these with a discussion of the dynamic between surveillance and empowerment in each model and some representative examples.Finally, we explore whether there are particular conditions which permit empowerment to emerge in a surveillance environment.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it