A Game-Playing Approach to Interviewing Children About Loneliness: Negotiating Meaning, Distributing Power, and Establishing Trust
Bibliographic record
Abstract
The new paradigm of studying childhood that has emerged in the past 15 years has significant implications for rethinking research with children. This article examines some methodological and ethical issues related to the role and responsibility of a researcher in the process of designing, structuring, and conducting research on childhood experiences and the role of children in such research. The main conceptual points are illustrated through examples from the process of developing and employing a game-playing approach to initiating conversations with young children about loneliness. Excerpts from a tape-recorded game-playing session with a 10-year-old child are used to illustrate how the approach facilitates negotiating meaning, distributing power, and establishing trust between the interviewer and the interviewee. The role of the game-playing approach as a research tool for involving children in the research process is examined.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".