Introduction : Failed, Forgotten, or Overlooked? Methods for Historicizing Minor Platforms
Bibliographic record
Abstract
This chapter defines key terms such as ‘minor’ and ‘platform’ and situates the book in relation to existing research on media archaeology, platform studies, and videogame history. It develops three core arguments with regard to the value of minor platforms for videogame and platform historiography: minor platforms inhabit moments of rupture , or periods of discontinuity and transitional instability in videogame history; minor platforms are useful as epistemic tools , insofar as their recalcitrance compels us to question what we think we know about videogame history and the ontological stability of our object of study; and minor platforms articulate alternative structures of feeling —that is, they can provide a window onto suppressed, unrealized, or oppositional cultural and affective patterns in videogame history. Keywords: videogame history, failure, platform studies, minor, media Archaeology Over three days in April 2014, a team of self-described ‘punk archaeologists’ (Caraher et al., 2014)—researchers, historians, and filmmakers—excavated a videogame trash dump in Alamogordo, New Mexico. The site of their dig was videogame history's most infamous e-waste deposit: the ‘Atari landfill’. This is a site where Atari had, in the midst of its financial collapse in September of 1983, buried thousands of unsold videogame cartridges, consoles, and computers. The three-day excavation yielded 1300 of approximately 700,000 buried videogames, barely scratching the surface of the 30-foot deep landfill. Many of the unearthed videogames remained surprisingly intact, despite sustaining damage as a result of their burial and excavation. The event subsequently made waves in the videogame community and even attracted widespread coverage in the mainstream press. A Canadian entertainment company facilitated the excavation and filmed the proceedings for a documentary. Alamogordo's city council even decided to take part in the event by auctioning many of the unearthed videogames on eBay. Suffice it to say, this was not a typical archaeological dig. Perhaps the most unconventional aspect of the excavation was that it promised no surprise findings—nothing that would inspire a radical rethinking of the existing knowledge regarding the landfill and its deposits. Indeed, the excavated materials largely confirmed what was already known—that Atari, facing bankruptcy in 1983 because of internal mismanagement and a faltering North American videogame industry, buried thousands of its unsold products in a New Mexico desert.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".