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Record W4396759157 · doi:10.47814/ijssrr.v7i4.2031

Refugee Women’s Entrepreneurship: A Concept Analysis

2024· article· en· W4396759157 on OpenAlexafffund
Areej Al‐Hamad, Caitlin Gare, Yasin M. Yasin, Kateryna Metersky

Bibliographic record

VenueInternational Journal of Social Science Research and Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeEntrepreneurshipSociologyGender studiesPsychologyPolitical science

Abstract

fetched live from OpenAlex

Purpose: This paper aims to conceptually define refugee women's entrepreneurship in host countries, filling a literature gap on its gendered aspects and effects on well-being and integration. It seeks to clarify this concept and its impact on refugee women's empowerment, autonomy, and community contribution. Design/methodology/approach: Employing the Walker and Avant (2011) method, this analysis methodically reviews literature on refugee women's entrepreneurship, identifying key attributes, antecedents and consequences of refugee women’s entrepreneurship. The study grounds these findings in real-world cases and theory. Findings: The analysis shows that refugee women pursue entrepreneurship to overcome employment obstacles, using their resilience and creativity. It provides a route to empowerment, independence, and integration, improving well-being and challenging gender norms, while positively impacting the host society's economy and social structure. Conclusion and implications: This concept analysis uniquely deepens our insight into refugee women's entrepreneurship, offering an intricate conceptualization that bridges economic, social, cultural, and psychological facets. It positions entrepreneurship as a strategic response to displacement with profound implications for policy and practice. This concept analysis emphasizes the need for policies and programs that support refugee women's entrepreneurship, aiding their integration and enhancing host economies. It also underscores entrepreneurship's role in advancing gender equality, social inclusion, and community resilience, advocating for wider recognition of these entrepreneurs' societal contributions. Keywords: Refugee women; entrepreneurship; concept analysis; Walker and Avant

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.472
Teacher spread0.399 · 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 designNot applicable
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

Citations1
Published2024
Admission routes2
Has abstractyes

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