Old and New Forms Conference: New Forms Festival 2004 Canadian Content in Video Games
Bibliographic record
Abstract
This paper investigates the culture being reflected in video games being produced in Canada as Canada is one of the world's leading producers of video games. It examines the how Canadian culture is represented in current new media artistic output against the culture, or lack of culture, being represented in video games currently being produced. With the shift of television viewers away from culture-regulated television and onto "culture neutral " video games, is our culture being eroded or expanding to fill a new culture shared with others across borders in virtual space? Canada is one of the most active in internet use, do virtual online gaming cultures form based on physical locale and shared real-world culture? Should we attempt to find our "national identity " in video games, or does culture travel differently through interactive media? Can we measure the impact of the transmission of culture through video games in Canada? In short, an in-depth examination of the impact of the transmission and direction of our national culture through the video games we produce and consume as cultural product.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.094 | 0.008 |
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".