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Record W1993221007 · doi:10.1142/s0218495802000086

THE SMALL ENTERPRISE-BANK LENDER RELATIONSHIP: FURTHER EMPIRICAL EVIDENCE

2002· article· en· W1993221007 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Enterprising Culture · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsLaurentian University
Fundersnot available
KeywordsLoanSmall businessBusinessSample (material)FinanceEmpirical researchEmpirical evidencePositive relationshipFinancial system

Abstract

fetched live from OpenAlex

This paper explores selected aspects of the small enterprise-bank lender relationship. Using a sample of small businesses based in Northern Ontario, Canada, it is found that loan approval rates are high and very few borrowers can be classified as being disappointed with their present bank financing arrangements, The results suggest that business size, as measured by the number of full time employees, is positively associated with the level of satisfaction with bank financing arrangements, thus providing partial support for previous studies that have reported that problems between small business borrowers and their banks are more evident for the smallest ventures. In addition, this level of satisfaction is also related to the incidence of visits by the lender to the small firm's place of business. Further, it is found that the sample firms are not accessing non-bank financial institutions to the same degree as their counterparts in other regions of the country. The general implications of these results are discussed and opportunities for further research are identified.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

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

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 head0.096
GPT teacher head0.282
Teacher spread0.187 · 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