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Record W2529552473 · doi:10.1142/s1084946716500205

GENDER MOTIVES OF MEXICAN ENTREPRENEURS IN TWO LARGE URBAN SETTINGS: AN EMPIRICAL STUDY

2016· article· en· W2529552473 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 Developmental Entrepreneurship · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsLaurentian University
Fundersnot available
KeywordsExtant taxonEntrepreneurshipFemale entrepreneursEuropean unionEconomic growthEmpirical evidencePolitical scienceDevelopment economicsBusinessEconomicsEconomic policy

Abstract

fetched live from OpenAlex

The need for an income is cited by several studies as a primary motive for both formal and informal business start-up activities found in emerging countries. Conversely, entrepreneurs from developed countries enjoying more favorable economic conditions (such as the United States, Canada, or the European Union) are mainly motivated by intrinsic motives. Given the extant literature, it appeared important to determine which motivators were at play in larger Mexican urban centers, where economic conditions seemed to have become similar to those of Canada and the United States. No significant differences were observed between the motives of female as compared to male entrepreneurs from urban Mexico because a majority went into business primarily for economic reasons rather than for intrinsic motives. Knowing that Mexican entrepreneurs are mostly motivated by economic goals should help local governments in designing policies aimed at fostering and facilitating entrepreneurship.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.034
GPT teacher head0.298
Teacher spread0.263 · 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