Afghanistan Development Update, November 2017
Bibliographic record
Abstract
Afghanistan’s security environment is continuing to deteriorate. The increased conflict appears to be holding back business and consumer confidence from recovering fully from the impact of the security transition in 2014. Economic growth has increased moderately from 2014-15, when the lowest growth rate was recorded since 2003. Proxy data for the first half of 2017 indicates that economic activity is continuing to languish, while business sentiment, gauged from the quarterly business perception surveys, appears to have improved slightly between the first and second quarters of 2017, though it remains lower than in the second quarter of 2016. The annual economic growth rate is projected to reach 2.6 percent in 2017, increasing very slightly from the figure of 2.2 percent recorded in 2016. Growth is projected to edge up to 3.2 percent in 2018, assuming no further deterioration in the security environment. While this constitutes a moderate improvement compared to 2014 and 2015, it is still significantly below the 9.6 percent average annual rate recorded in the period from 2003 to 2012.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads 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".