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Record W2309004099 · doi:10.14288/1.0087128

Balancing business and family : a comparative study of the experiences of male and female entrepreneurs in British Columbia

2009· article· en· W2309004099 on OpenAlexaboutno aff
Indira-Natasha Phrast

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsFemale entrepreneursFamily businessEntrepreneurshipGender studiesSociologyPolitical scienceBusinessMarketing

Abstract

fetched live from OpenAlex

In recent years there has been in Canada, as in other industrial societies, a substantial increase in the size of the self-employed element in the occupational structure. This reverses a long standing trend and challenges traditional social economic theories that predicted and explained the historic decline. From the mid-nineteen seventies new theories that foretell and/or account for the renaissance of the small business sector emerged. Particularly noticeable in the most recent period is the rapid growth in the numbers of female entrepreneurs which has risen three times as fast as the rate for self-employed men in Canada. Feminization of small businesses calls for sociological research to explore why more women are starting up their own enterprises. Given their disadvantaged positions in the labour market what particular obstacles did they have to overcome? Also this raises interesting questions about how family obligations and gender roles affect growth and vitality of small enterprises. The purpose of this thesis is to explore and help to explain how self-employed men and women organize family and business. Forty self-employed men and women in British Columbia were interviewed in December 1994 to December 1995. The data were obtained from a semi-structured interview questionnaire. The study found that self-employed men and women coordinate business and family responsibilities differently. Gendered outlooks on the family emerged which in turn influenced motivation for becoming self-employed, determined the types of enterprises chosen, and ways in which business and family are organized.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0190.004
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.187
Teacher spread0.175 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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