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
Although many scholars (Cooke, Tribal Modern: Branding New Nations in the Arab Gulf. Berkeley: University of California Press, 2014; Foley, The Arab Gulf States: Beyond Oil and Islam. Boulder, CO: Lynne Rienner Publishers, 2010; Gray, Qatar: Politics and the Challenges of Development. Boulder, CO: Lynne Rienner Publishers, 2013) have documented the impact of oil and gas wealth in transforming Qatar from a “traditional society” into a modern one, the speed at which Qatar has developed over the past 15–20 years is still striking. Almost overnight the small state’s foreign population has increased dramatically. The resulting demographic imbalance and the rapid urbanization and development have had a tremendous impact on Qatari society. The focus of this chapter is to look at how this rapid transformation has affected the family in Qatar in general and the role of women in particular. We examine the centrality of women in state polices that attempt to address the challenges that face the family. We begin by arguing that the state’s policy toward the family, which was developed during the process of state formation, has unintentionally undermined the extended family. We examine how many, if not most, of functions of the traditional tribal extended family have been replaced by state agencies. However, the transformation of society has occurred at such a fast pace that the relevant agencies and institutions have had difficulty coping with or anticipating the new responsibilities with such a shift. This situation, we suggest, led the government to retroactively enact policies that target issues or “problems” that have emerged in society as a result of major changes taking place in Qatar.
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 | 0.001 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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