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Record W2300196735 · doi:10.1504/ijesb.2016.073987

A road to empowerment: social media use by women entrepreneurs in Egypt

2016· article· en· W2300196735 on OpenAlex
Stefanie Beninger, Haya Ajjan, Rania B. Mostafa, Victoria L. Crittenden

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.

Bibliographic record

VenueInternational Journal of Entrepreneurship and Small Business · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmpowermentSocial mediaWomen entrepreneursEntrepreneurshipGrounded theoryContext (archaeology)Female entrepreneursSocial entrepreneurshipSociologyBusinessQualitative researchPublic relationsEconomic growthPolitical scienceSocial scienceEconomicsGeography

Abstract

fetched live from OpenAlex

The role of social media in the empowerment of women entrepreneurs in emerging economies is a nascent area of research, despite the large numbers of women entrepreneurs around the world. Through semistructured interviews, we explored the role social media plays in the businesses of 30 women entrepreneurs in Egypt. Egypt was an interesting context of study given limited previous research on it and the high adoption rates of social media platforms. Using a grounded theory approach to data analysis, the findings show that social media has an overall positive impact on the lives of women entrepreneurs, both professionally and personally.

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)0.002
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 score0.169
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.022
GPT teacher head0.226
Teacher spread0.205 · 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