“See the Big Picture”: Cineplex Entertainment and Branded Cinemagoing
Bibliographic record
Abstract
Résumé : L’article étudie la transformation historique de la présentation de films en salle depuis le début des années 2000 à travers le cas de Cineplex Divertissement, la plus grande chaine de salles de cinéma au Canada. Suivant la tendance générale du marché des films sur grand écran aux États-Unis et au Canada, Cineplex a réagi à la crise par un mouvement de consolidation et de diversification et par de nouvelles options de projection haut de gamme. En réponse aux changements sectoriels, sa campagne publicitaire de 2016 donnait à son marketing un tour personnel, émotionnel et nostalgique en évoquant une éthique bourdieusienne du plaisir, qui fait de celui-ci une responsabilité morale. Ce faisant, la chaine de cinémas a révélé son investissement dans les classes moyennes et supérieures, ciblées par les nouvelles pratiques de diversification et les technologies de projection de pointe. Le recours à la nostalgie inscrivait fictivement Cineplex et ses nouvelles activités dans la lignée des pratiques de projection antérieures, ce qui a permis à la chaine de légitimer ses offres les plus récentes et la continuité de sa position centrale dans la vie culturelle publique.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".