Parental Mediation, YouTube’s Networked Public, and the “Baby-iPad” Encounter: Mobilizing Digital Dexterity
Bibliographic record
Abstract
This study collected a sample of YouTube videos in which parents recorded their young children utilizing mobile touch-screen devices. Focusing on the videos that received the greatest number of views and comments, the paper analyzes the ways in which babies’ “digital dexterity” is coded and understood in terms of contested notions of “naturalness” and the ways in which the display of these capabilities are produced for a networked public. This reading of the “baby-iPad encounter” helps expand existing scholarly concepts such as parental mediation and technology domestication. Recruiting several theoretical frameworks, the paper seeks to go beyond concerns of mobile devices and immobile children by analyzing children’s digital dexterity not only as a kind of mobility but also as a set of reciprocal mobilizations that work across domestic, virtual, and publically networked spaces.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 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".