Écosystème de l’industrie de l’humour francophone au Québec
Bibliographic record
Abstract
L’industrie de l’humour francophone occupe une place importante dans la culture québécoise. L’étude d’une industrie en utilisant le concept d’écosystème est de plus en plus populaire en gestion. Ce concept comme cadre d’analyse permet de mieux percevoir les liens entre les acteurs interdépendants d’un milieu donné. Dans le milieu de l’humour, l’écosystème gravite autour d’un acteur clé, l’humoriste. L’objectif de cet article est de présenter l’écosystème de l’industrie de l’humour francophone au Québec et de rendre apparents les liens entre les acteurs. Les intervenants de l’industrie de l’humour, centré autour de l’humoriste, sont soulignés autant sur les plans du soutien, de la création/production que de la diffusion/promotion. L’écosystème proposé offre un cadre de référence utile dans l’étude d’autres industries culturelles et simplifie la visualisation des différents groupes d’intervenants et leurs interactions contribuant à une meilleure action des pouvoirs publics et des intervenants.
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 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".