Le jeu vidéo au Québec Video games in Quebec
Bibliographic record
Abstract
Globe, revue internationale d'études québécoises, sollicite des propositions d'articles en vue de la préparation d'un numéro thématique consacré au jeu vidéo au Québec. Ce numéro thématique s’inscrit dans la foulée des approches plus locales de l’histoire. Car s’il existe des histoires globales du jeu vidéo telles quePhoenix: The Fall & Rise of Videogames (Herman, 1994), The Ultimate History of Video Games (Kent 2001), The Video Game Explosion: A History from PONG to PlayStation and Beyond(Wolf, 2007) etReplay. The History of Video Games (Donova, 2010), celles-ci se concentrent sur « les gros canons », à savoir les productions américaines, japonaises et européennes. À l’exception du chapitre sur le Canada de Dominic Arsenault et Louis-Martin Guay dans l’ouvrage Video Games Around the World (Wolf, 2015) et de quelques articles publiés dans des revues, entre autres sur les jeux indépendants (comme le Vol 7, No 11 publié en 2013 par la revueLoading...de l’Association canadienne d’études vidéoludiques), on a peu écrit sur la création vidéoludique québécoise pourtant fort riche.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.003 |
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".