Bibliographic record
Abstract
This book has argued that the scale of Qatar’s policy ambitions requires a fresh frame of reference as a “transformative state,” which we defined as a state that seeks to introduce and implement, over a comparatively short time, a radical re-configuration of social, economic, and political institutions in a country. This definition has three key dimensions: (1) time (short, compressed, and intense), (2) depth (radical, deep), and (3) scope (almost simultaneously, across all sectors, public and private). By calling attention to its transformative character, we are not denying other important characteristics of the Qatari state, for example, its geo-political location in the Gulf and the Middle East, its dependence on hydrocarbons, and its Arab and Islamic nature, to name only the key ones. Our argument is simply that these characteristics, as crucial as they are, need to be weighed with and against the state’s policy ambitions. Indeed, the ambition to transform Qatar into a modern state and society is one tempered by the exigencies of geography, culture, history, and religion. Does its transformative character make Qatar unique? In some ways it does, and we will discuss these below. A “unique case” is somewhat troubling from a social science perspective, since it explains nothing but itself; it is sui generis . However, understanding Qatar does cast some light on challenges in the Gulf and the Middle East, as well as broader issues of governance and the management of public policy dynamics. For example, Qatar’s challenges and opportunities are similar to those faced by some other Gulf states. In the field of foreign policy, as another example, it has been taken as an exemplar of “small state diplomacy” (Cooper and Momani 2011; Cooper and Shaw 2009). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.319 | 0.159 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".