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Record W2754151222 · doi:10.3917/riges.422.0053

QuébéComm : l’art des affaires

2017· article· fr· W2754151222 on OpenAlexaffvenueabout
Simon Lord, Sylvain Parent-Bédard, François Lapointe

Bibliographic record

VenueGestion · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsHôpital Saint-François d'AssiseMinistère des Ressources naturelles et des ForêtsWorld Federation of Science Journalists
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Rêveur, Sylvain Parent-Bédard est toutefois loin d’être un vendeur de rêve. Établie à Québec, son agence d’humour et de divertissement multiplateforme, QuébéComm, a adopté des pratiques de marketing et de gestion qui témoignent d’une grande audace. Résultat ? Elle cumule les réussites : émissions écoutées de la Finlande au Liban, festival humoristique à rayonnement mondial, spectacles diffusés dans le monde entier. En trois volets, voici l’histoire d’une drôle d’entreprise qui connaît un sérieux succès.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.067
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.008
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0460.003

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.

Opus teacher head0.124
GPT teacher head0.401
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes3
Has abstractyes

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