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Record W3006299473 · doi:10.1522/revueot.v28n3.1079

Écosystème de l’industrie de l’humour francophone au Québec

2020· article· fr· W3006299473 on OpenAlexaffvenueabout
François Brouard, Christelle Paré

Bibliographic record

VenueRevue Organisations & territoires · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.028
GPT teacher head0.261
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes3
Has abstractyes

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