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Record W2119298547 · doi:10.1142/s0218495807000071

STAGES OF SMALL ENTERPRISE DEVELOPMENT: A COMPARISON OF CANADIAN FEMALE AND MALE ENTREPRENEURS

2007· article· en· W2119298547 on OpenAlex
J. Terence Zinger, Rolland LeBrasseur, Yves Robichaud, Nathaly Riverin

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 · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsLaurentian University
Fundersnot available
KeywordsEntrepreneurshipContext (archaeology)Small businessWomen entrepreneursFemale entrepreneursBusinessDemographic economicsMarketingVariety (cybernetics)Business developmentEconomicsBiologyFinance

Abstract

fetched live from OpenAlex

The explosive growth in the rate of new business formation by women has spurred renewed research interest in the area of female entrepreneurship and its related economic impact. Yet, there has been a dearth of research into the influence of gender on new venture formation and development. This study draws on data from the annual survey of the Global Entrepreneurship Monitor to examine the differences between female and male entrepreneurs in the early stages of small enterprise development. The data was aggregated for the period 2002 through 2004, and consisted of 444 Canadian entrepreneurs: 164 females and 280 males. Gender differences are explored within the context of a variety of personal as well as business-related variables. Women entrepreneurs had a much greater propensity to have established a consumer or business services enterprise, and reported significantly lower income levels. In addition, they were less likely than their male counterparts to work full time at their business, to utilize new technology or to anticipate new business opportunities in the near term. In terms of the enterprise's stage of development, it was found that 62 percent of the enterprises operated by females were ‘nascent’ small firms, while 38 percent were ‘new;’ the respective proportions for males were 55 percent and 45 percent. The analysis revealed that the difference between genders on business-related variables strengthens as the firm evolves through the stages of development from nascent to new; however, there was mixed support for the corollary hypothesis that differences in personal characteristics and attitudes diminish during this progression: even for ventures that have reached the ‘new’ phase, personal variables continue to act as important discriminators between genders. The paper provides a discussion of the implications of these empirical findings, as well as some directions for future research.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.133
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.258
Teacher spread0.233 · 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