fAR-PLAY: A framework to develop Augmented/Alternate Reality Games
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
Augmented/Alternate Reality Games are a relatively new, yet increasingly interesting, class of social applications. These games are fundamentally intertwined with the players' real life, in that the players' everyday activities generate events that advance the game logic. At the same time, they augment the players' “regular” activities with game-related tasks and challenges and with rich digital content that is communicated to the players through a variety of devices, usually augmenting their mobile-device views. In our work, we have been developing a software framework, fAR-Play, to support the development of educational AARG games, in the treasure-hunt style, using space as the context for communicating information. Our toolkit extends the stereotypical notion of AARGs to include a virtual world in which the players can also interact and play. Our toolkit has been evaluated through (and has evolved based on our experience with) the development of several specific games.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it