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Record W7135575067

Reciprocal impact of family and business for internally displaced female entrepreneurs (511)

2021· article· en· W7135575067 on OpenAlexaff
Wojdan; id_orcid 0000-0001-5021-3563 Omran, Shumaila Yousafzai, Haya Al-Dajani

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsQueen's University
Fundersnot available
KeywordsReciprocalPatriarchyDeterminismRefugeeQualitative researchFemale entrepreneursClass (philosophy)Grounded theory
DOInot available

Abstract

fetched live from OpenAlex

This study fills research gaps by illustrating the reciprocal impact family and business have on each other with respect to internally displaced (IDP) women entrepreneurs. Reciprocal determinism vis-a-vis social learning theory (SLT) enriches understanding of this cyclical relationship and ensuing impact. A qualitative comparative design is applied via interviews with fifteen IDP Palestinian female entrepreneurs in city and refugee camp locales in Ramallah, Palestine. The results indicate instances of family support and discouragement, as well as instances of the business benefitting and hindering the family. IDP female entrepreneurs’ dedication to their families and businesses is evident. Paradoxical influences of patriarchy illustrate obstacles and privilege. Further research is required to investigate evidence of social class discrimination. Patriarchal and social class paradoxes extend upon Bhaskar’s notion of transfactuality while demonstrating the strength of reciprocal determinism in explaining this philosophical contribution.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.005
Scholarly communication0.0030.001
Open science0.0000.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.295
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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