Nigerian economic policy likely to stutter
Bibliographic record
Abstract
Subject Nigeria's economic outlook. Significance The economy contracted by 2.24% year-on-year in the third quarter, sharper than the 2.10% registered in second quarter, led by the oil sector’s continuing decline. The non-oil sector experienced a slight rebound, expanding for the first time this year. However, results here may prove fleeting as the policy environment becomes inimical to growth into 2017. Implementation of next year’s budget is already at risk from the ongoing stand-off between lawmakers and the presidency, while proposed new foreign exchange (forex) controls could further delay the return of crucial investments. Impacts The medium-term expenditure framework is unlikely to ease investor concerns over the government’s economic policy formulation capacity. Potential lenders may demand external policy assistance -- possibly from the IMF -- before considering extending credit to the government. Delays in the national assembly approving the 2017 budget could further undermine investor confidence and hamper growth potential.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.078 |
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".