A West<scp>A</scp>frican experiment: constructing a<scp>GDP</scp>series for colonial<scp>G</scp>hana, 1891–1950
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
There has been a recent surge in research on long‐term A frican development. For this research agenda to be fruitful and its theories tested, it is crucial to have consistent estimates of economic change. However, there is a lack of reliable time series data for the colonial period in S ub‐ S aharan A frica. This article contributes new time series data for the G old C oast and G hana between 1890 and 2010 and in particular a new GDP time series for G hana for the years 1891–1957. The series implies a sustained period of economic expansion from the late nineteenth century. This suggests a revision of some prevalent truths about the history of economic growth in S ub‐ S aharan A frica, and points the way forward for expanding the database to cover the colonial period for other A frican economies.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it