Bibliographic record
Abstract
Dans cet article, nous proposons une analyse d’une teleserie contemporaine quebecoise en fonction du concept d’identite generationnelle. Depuis quelques annees, on remarque, sur la chaine de Radio-Canada, la production de grandes series dramatiques representant tout particulierement une generation de trentenaires. L’objectif de la presente recherche est de mieux comprendre comment est representee cette generation dans une serie contemporaine quebecoise. Pour ce faire, nous presenterons une analyse de cas de la serie Les Invincibles, realisee par Jean-Francois Rivard, qui fut l’une des emissions marquantes des dix dernieres annees dans le paysage televisuel quebecois. Nous analyserons cette serie tant d’un point de vue formel qu’en termes de contenu afin de demontrer comment cette fiction represente clairement cette generation. In this paper, we propose an analysis of a contemporary Quebec television program based on the concept of generational identity. In recent years, we have witnessed the production of a number of prominent drama series on the Radio-Canada network that depict a particular generation in their thirties. The purpose of this research is to better understand how this generation is portrayed in a contemporary television program in Quebec. In order to do so, we present a case study of Les Invincibles, one of the most outstanding series of the past decade in Quebec’s television landscape, directed by Jean-Francois Rivard. We analyze this program from a formal standpoint and in terms of content in order to demonstrate how this fiction clearly represents this particular generation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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".