State of the Bangladesh Economy in FY2007-08 And Some Early Signals Regarding FY2008-09 (First Reading)
Bibliographic record
Abstract
As Bangladesh enters into the second quarter of Y2008-09, a number of challenges confront the economy. The confidence generated through the strong resilience, demonstrated by overcoming the formidable difficulties faced in FY2007-08, has given way to uncertainties originating from global financial crisis and the political transition. FY08 will be remembered for the consecutive floods, cyclone Sidr, uncertainties with regard to savings and investment as a consequence of some of the steps taken by the Caretaker Government (CTG) and the rise in food prices driving up the inflation. FY08 also saw important institutional reforms which hopefully will leave positive impact on subsequent economic governance. It is encouraging to also note that after considerable uncertainties there are positive developments with regard to transition to democratic governance through free and fair national elections.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".