Ripple effects: the groundnut scheme failure and railway planning for colonial development in Tanganyika, 1947–1952
Bibliographic record
Abstract
While the reasons for the failure of the groundnut scheme are well understood, its effects on colonial development in Tanganyika are not. Drawing from the voluminous paper trail that development planning leaves in its wake, this paper traces the effects of the groundnut scheme demise on a contemporaneous plan to build a railway across Tanganyika to the Northern Rhodesian copperbelt. Tensions arose among the railway planners – civil servants, politicians, and consultants from Britain, Africa, and the United States – when, midway through the planning process, the scale of the groundnut scheme collapse became public. I demonstrate how this revealing crisis prompted planners to eschew the project's production-oriented impetus and embrace a welfare-oriented conclusion. By demonstrating the interlinked nature of development projects, this paper proposes a new angle for studying the history of development in an era characterised by the rapid proliferation of projects.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".