Bibliographic record
Abstract
Studies on parenting and online gaming abound, most of this literature considering the role of parents in educating their children about online safety, maintaining boundaries and limiting time spent online. Embedded within these inquiries is often the assumption that parents live with their children and must balance the physical-virtual divide. Relatively little research has considered the role of the virtual in the lives of parents who do not live with their children. In this inquiry, I present a narrative-ethnographic account of my experiences as a father living apart from my six-year-old son, communicating daily through various online games. I draw on my own experiences over the past three years, as well as formal and informal interviews with my son. I consider how our relationship has evolved in relation to virtual constructs including spaces, characters, and stories, and the extension of the virtual worlds we inhabit into our face-to-face conversations, play, and subjective individual and collective constructions of the reality of our relationship. Ultimately, I propose broader implications for the study of virtual worlds and relationships, as well as an expansion of the understanding of parenting in a digital age, where gaming is not always a distraction from familial engagement but can in fact integrate with family life.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".