Women's Micro Credit Loans and 'Gam'iyyaat' Saving Clubs in Cairo, Egypt: The Role of Social Networks in the Neighbourhood
Bibliographic record
Abstract
No accessJournal of Human SecurityOther Journal Article01 January 2011Women's Micro Credit Loans and 'Gam'iyyaat' Saving Clubs in Cairo, Egypt: The Role of Social Networks in the Neighbourhood Authors: Julie Drolet Authors: Julie Drolet Assistant Professor, School of Social Work and Human Service, Thompson Rivers University, Kamloops, British Columbia, Canada, email: [email protected] Google Scholar More articles by this author SectionsAboutPDF/EPUBExport CitationsAdd to FavouriteAdd to FavouriteCreate a New ListNameCancelCreate ToolsTrack CitationsCreate Clip ShareFacebookTwitterLinkedInEmail Abstract This article examines the influence of social networks on women's micro credit loan groups and gam'iyyaat savings clubs. Research from Cairo, Egypt, suggests that women's social networks at the neighbourhood level facilitate micro credit and savings practices. A sample of 69 micro credit loan participants, including women borrowers and key staff members, was drawn from the Abdeen and Imbeba neighbourhoods of Cairo, Egypt. The article highlights that micro credit is not a solution for poverty in an often unpredictable and unstable economy, but should be available in collaboration with other health, social and educational initiatives to contribute to meeting women's gendered human development and human security needs. Full Text DOI Previous article Next article RelatedDetails View PUBLICATION DETAILSDate of Publication:January 2011Journal:Journal of Human SecurityISSN:1835-3800Volume:7Issue:2Page Range:20-31First Page:20Last Page:31Source:Journal of Human Security, Vol. 7, No. 2, 2011: 20-31Date Last Modified:05 September 2018 12:24Date Last Revised:19 August 2011SubjectSaving and investmentWomen--Social conditionsWomen--Economic conditionsWages--Women METRICS Downloaded 0 times Copyright© Human Security Institute, 2011Download PDFLoading ...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".