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Record W4386802767 · doi:10.1504/ejim.2023.133445

Entrepreneurial pursuits of women and men in the diaspora from MENA: dual embeddedness in home- and host-societies

2023· article· en· W4386802767 on OpenAlex
Ye Liu, Zohreh Hassannezhad Chavoushi

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

VenueEuropean J of International Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDiasporaEmbeddednessGender studiesDual (grammatical number)Host (biology)SociologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Migrants are embedded in traditions in their home-society and embedded in institutions in their host-society. This dual embeddedness raises issues for migrants from the Middle East and North Africa (MENA) residing in Europe and North America. Embedded in a gender-inegalitarian home-society and in a more gender-egalitarian host-society, what are migrant women's occupational pursuits, especially to become entrepreneurs? The research design analyses women and men in the diaspora by comparing their home-society and their host-society. Analyses show that migrant men's roles are to be breadwinners in the diaspora in both home- and host-societies. Migrant women, however, switch extensively from being homemakers in home-society to becoming breadwinners in host-society. Migrant women frequently show entrepreneurial intention, but are filtered out more than men, and in the diaspora more than women in Europe and North America, but less than women in MENA. The findings contribute to understanding effects of dual embeddedness.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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