MétaCan
Menu
Back to cohort
Record W2009287869 · doi:10.7202/1024194ar

L’internationalisation des PME affecte-t-elle l’accès au financement bancaire ?

2014· article· fr· W2009287869 on OpenAlexvenueno aff
Ramzi Benkraiem, Anthony Miloudi

Bibliographic record

VenueManagement international · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceInternationalizationHumanitiesFinancial systemBusinessPhilosophyInternational trade

Abstract

fetched live from OpenAlex

Cet article étudie les relations entre l’accès au financement bancaire et un ensemble de variables économiques et financières de PME. Nous mettons spécifiquement l’accent sur le lien entre l’internationalisation des PME et leur capacité à obtenir des crédits. Plusieurs résultats sont à mettre en perspective. En particulier, la taille et la tangibilité des actifs sont positivement reliées à l’endettement bancaire, ce qui montre l’importance des garanties présentées dans l’octroi du financement. En revanche, l’internationalisation est négativement reliée à ce même type d’endettement, ce qui traduit les difficultés de financement des PME lorsqu’elles désirent s’ouvrir aux marchés internationaux.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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 designNot applicable
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

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueManagement internationalSame topicCorporate Finance and GovernanceFrench-language works237,207