Players' Stories and Secrets in Animal Crossing
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
Animal Crossing is an online multiplayer game that supports social communication and collaboration. Its recent version, New Horizons, is immensely popular having sold over 32 million copies worldwide, with many players attracted to the opportunities it provides to remotely socialize during the COVID-19 pandemic. To understand players' increased positive emotions and social interactions, we surveyed 119 of them betweenMay and December 2020 and conducted remote interviews with 25 respondents. We identified the social dynamics among players and with non-player characters (NPCs), and analyzed how positive social interactions were facilitated under player-generated narratives and game-determined narratives. Based on our empirical analyses, we have extended our understanding of how to create positive, safe, and friendly interactions: (1)the design of mood-improving game worlds with flexible game tasks, (2) implementation of game-determined activities with social implications, (3) provision of player rewards to reinforce their social interactions, and (4)creation of opportunities to integrate NPCs' game-determined narratives into player-generated narratives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it