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Record W2308945982

Taux d'echec des nouvelles entreprises canadiennes: nouvelles perspectives sur les entrees et les sorties

2000· preprint· fr· W2308945982 on OpenAlexaboutno aff
John R. Baldwin, Lin Bian, Richard Dupuy, Guy Gellatly

Bibliographic record

VenueRePEc: Research Papers in Economics · 2000
Typepreprint
Languagefr
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La présente étude porte sur les déterminants de l'échec des nouvelles entreprises canadiennes. On y examine l'incidence de certains facteurs sur la probabilité de survie - facteurs liés à la structure du secteur d'activité, au profil démographique des entreprises et aux cycles macro-économiques. On vérifie si les déterminants de l'échec sont les mêmes pour les jeunes entreprises et celles ayant atteint l'adolescence, et si l'ampleur de ces différences a une portée économique. On examine enfin si, après avoir neutralisé certaines influences, les taux d'échec varient entre les secteurs et entre les provinces. L'analyse touche à deux thèmes principaux. L'incidence d'abord qu'exercent certaines caractéristiques du secteur - par exemple la taille moyenne des entreprises et la concentration - sur le processus d'entrée et de sortie, que ce soit par leur effet sur les coûts liés à l'échec ou sur l'intensité de la concurrence. Le deuxième thème a trait à la façon dont les dimensions de l'échec changent à mesure que les nouvelles entreprises s'aguerrissent aux particularités du marché.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.272
Teacher spread0.222 · 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

Citations15
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicFirm Innovation and GrowthFrench-language works237,207