Inspecting the Foundation of <i>Mystery House</i>
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
Computer games are recent artifacts that have had, and continue to have, enormous cultural impact. In this interdisciplinary collaboration between computer science and archaeology, we closely examine one such artifact: the 1980 Apple II game Mystery House, the first graphical adventure. We focus on implementation rather than gameplay, treating the game as a digital artifact. What can we learn about the game and its development process through reverse engineering and analysis of the code, data, and game image? Our exploration includes a technical critique of the code, examining the heretofore uncritical legacy of Ken Williams as a programmer. As game development is a human activity, we place it in a theoretical framework from archaeology, to show how a field used to analyze physical artifacts might adapt to shed new light on digital games. Open Access Attribution-NonCommercial-NoDerivatives: CC BY-NC-ND
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 | 0.002 | 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 | 0.001 |
| 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