Summaries of economic data: Central African Republic
Bibliographic record
Abstract
Summaries of economic data the case of Central African Republic 1975. The 1970 Statistical Annual shows a population from the 1968 census of 2, 255,536. If the 1968 Census is accurate the 1972 population would be about 2, 5001 000 and that for 1973 about 2,555,000. With only very-limited information it is difficult to comment on the economic situation of the CAR in 1974. In 1974 import prices rose sharply and reports indicate increases of about 25 per cent in other Central and West African countries. Thus, imports in 1974 could have cost some 17 billion CFA francs. The existing industries serve the limited markets of the CAR and Southern Chad; some establishments process agricultural products for export and some small portion of the diamonds minded is also processed. One of the major objectives is to create 3,000 new jobs by 1975 adding to the 7,000 employees in 1970, Turnover in manufacturing industry is scheduled to increase from 10.7 billion francs CFA in 1970 to 20,9 billion in 1975.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.028 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.116 | 0.080 |
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 source (direct Gemma or distilled Codex), 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".