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Record W2107700927 · doi:10.7202/1008363ar

Capitalisation des entreprises québécoises: évolution et état de la situation

2012· article· fr· W2107700927 on OpenAlexaffvenueabout
Jean‐Marc Suret, Laurence Arnoux

Bibliographic record

VenueRevue internationale P M E Économie et gestion de la petite et moyenne entreprise · 2012
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsCenter for Interuniversity Research and Analysis on Organizations
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

À l’aide de données tirées des statistiques fiscales du gouvernement du Québec, nous montrons ici qu’il n’existe pas de relation systématique entre la taille et rendettement des entreprises québécoises. Les entreprises les moins endettées sont celles dont l’actif total se situe entre 100 000 et 1 million de dollars ainsi que les grandes entreprises, dont l’actif dépasse 50 millions de dollars. Inversement, les entreprises dont l’actif se situe entre 1 et 50 millions de dollars sont les plus fortement endettées et le phénomène semble particulièrement évident pour les entreprises de 5 à 15 millions de dollars d’actif. L’endettement élevé serait donc davantage une caractéristique des entreprises de taille moyenne que des plus petites. Par ailleurs, il existe une relation très nette entre la capacité à générer des bénéfices et l’endettement. À taille égale, la différence entre les niveaux d’endettement des sociétés imposables et non imposables atteint 25 points de pourcentage, alors que les différences dues à la taille ne dépassent pas 7 points de pourcentage.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.026
GPT teacher head0.254
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations2
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueRevue internationale P M E Économie et gestion de la petite et moyenne entrepriseSame topicFirm Innovation and GrowthFrench-language works237,207