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Record W4402605691 · doi:10.1108/ijebr-12-2023-1293

The everyday female entrepreneur and the pursuit of emancipation

2024· article· en· W4402605691 on OpenAlexaff
Albena Pergelova, Vesna Mandakovic

Bibliographic record

VenueInternational Journal of Entrepreneurial Behaviour & Research · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMacEwan University
Fundersnot available
KeywordsEmancipationEntrepreneurshipOriginalitySociologyContext (archaeology)Variety (cybernetics)Latin AmericansValue (mathematics)Perspective (graphical)Diversity (politics)Gender studiesEconomic growthPublic relationsQualitative researchSocial sciencePolitical scienceEconomicsGeography

Abstract

fetched live from OpenAlex

Purpose This study takes an “entrepreneurship as emancipation” perspective to study entrepreneurs defined as “others” on multiple categories: women entrepreneurs whose ventures are necessity-based, bootstrapped and located in economically impoverished areas (neighborhoods) in two Latin-American countries: Chile and Peru. Design/methodology/approach The study takes an interpretivist research approach and analyses inductively interviews with women entrepreneurs. Findings The findings reveal how everyday practices in pursuit of emancipation – while conducted within the existing patriarchal social structure – push the boundaries and contribute to changes in the social system via a variety of outcomes such as intergenerational social mobility, personal fulfilment and strengthening the communities in which the women entrepreneurs operate. Furthermore, while the authors find that in the particular Latin-American context under study, entrepreneuring activities become an emancipatory possibility for the everyday women entrepreneurs, they also highlight a “dark side” of their emancipatory projects. Originality/value The study contributes to recent critical studies in entrepreneurship by demonstrating the diversity and importance of the “mundane” activities undertaken by “necessity-based” entrepreneurs, and the significant – yet underappreciated – reach of their ventures’ impact on issues well beyond economic considerations.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.042
GPT teacher head0.352
Teacher spread0.311 · 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 teacher head, not a consensus.

Study designObservational
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

Citations4
Published2024
Admission routes1
Has abstractyes

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