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.
Bibliographic record
Abstract
Much of the literature on Islamic Social Institutions (ISIs) has argued that these institutions are recruiting grounds for the poor. Clark (Univ. of Guelph, Ca.), through case studies of ISIs in Egypt, Yemen, and Jordan takes this notion to task. She argues that the vertical networks (i.e. across classes) created through ISIs are weak, that the important social networks are the horizontal ones within the middle class, and that this is in keeping with social movement theories. In addition, she demonstrates how a strategy of solidifying middle class networks,one that is demanded by the operational needs of ISIs, may actually work to discredit Islamic movements that support these ISIs in the long run. Finally, she argues that ISIs do not necessarily seek radical transformation of society and that there is nothing obviously Islamic in their provision of services. Her argument is clear and easy to follow, and the case studies are rich with supportive data. However, in some respects, the case study of the Islah Charitable Society in Yemen, differs from the others and raises questions about her contentions, particularly about the Islamic nature of ISI activities. Summing Up: Recommended. Advanced-level undergraduates and graduates, specifically those interested in civil society in the region and Islamism.
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 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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 it