Communicating age in Second Life: The contributions of textual and visual factors
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
Although considerable research has identified patterns in online communication and interaction related to a range of individual characteristics, analyses of age have been limited, especially those that compare age groups. Research that does examine online communication by age largely focuses on linguistic elements. However, social identity approaches to group communication emphasize the importance of non-linguistic factors such as appearance and non-verbal behaviors. These factors are especially important to explore in online settings where traditional physical markers of age are largely unseen. To examine ways that users communicate age identity through both visual and textual means, we use multiple linear regression and qualitative methods to explore the behavior of 201 players of a custom game in the virtual world Second Life. Analyses of chat, avatar movement, and appearance suggest that although residents primarily used youthful-looking avatars, age differences emerged more strongly in visual factors than in language use.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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