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
<JATS1:p>The World Today Series: The Middle East and South Asia.More than a quarter of the world’s population live in the Middle East and South Asia, yet our knowledge and understanding of the region is often limited to news updates about the latest conflicts and crises. This edition of the annually updated volume of the World Today Series provides important insights that take the reader beyond the headlines. It offers detailed and up-to-date information about the politics, economies and societies of the twenty-four states that make up the region. Contemporary events are placed in their historical context, through an examination of major civilizations and key historical events. This volume introduces major themes that have shaped the region, including the struggles of ordinary people to achieve democratic rights; the role of oil in shaping society; burgeoning environmental threats; and the rise and fall of the Islamic State caliphate. While there is reason for optimism in regards to the Middle East and South Asia, this is tempered by the very real challenges that confront the region. The general reader will gain an understanding of these challenges and opportunities through an exploration of current and past developments.</JATS1:p>
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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