Bibliographic record
Abstract
First published in 1978, this book was written at a time when belief was high in Western-guided economic development of the emerging countries. The success of Marshall Plan in war-torn Europe generated a US-led optimism that, with generous inflows of aid and technical assistance, the Third World could be won over in the Cold War. The author’s direct experience as a young academic economist in Cyprus, Malaysia, Uganda and Liberia led him to question this general optimism: the reality on the ground in the developing world did not seem to match Western optimism. Theories and blueprints, made in the West, did not fit the requirements of developing countries. Higher production and better income distribution were inseparable twin objectives of developing nations. That meant, production of a higher national output must at the same time promote social justice. Investment must create adequate jobs so that new entrants into rapidly expanding labor force could be gainfully employed. Yet, the dominant (Western) theories of development at the time, in particular the Trickle Down Theory of Growth, prescribed "Growth First, Distribution Later" strategy. Similarly, Import Substitution Industrialization theories were emphasized at the expense of export-led growth. Dualistic Growth theories preached urban-biased, anti-rural development. This book was written as a rebuttal of such faulty theorizing and misguided professional technical assistance and the book’s message is no less valid today than in the 1970’s.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".