The Sincerest Form of Flattery: Large-Scale Analysis of Code Re-Use in Atari 2600 Games
Bibliographic record
Abstract
The Atari 2600 was a prominent early video game console that had broad cultural impact, and possessed an extensive catalog of games that undoubtedly helped shape the fledgling game industry. How were these games created? We examine one development practice, code re-use, across a large-scale corpus of 1,984 ROM images using an analysis system we have developed. Our system allows us to study code re-use at whole-corpus granularity in addition to finer-grained views of individual developers and companies. We combine this corpus analysis with a case study: one of the co-authors was a third-party developer for Atari 2600 games in the early 1980s, providing insight into why code re-use could occur through both oral history and artifacts preserved for over forty years. Finally, we frame our results about this development practice with an interdisciplinary, bigger-picture archaeological view of humans and technology.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".