The Roots of Unequal Exchange: Mihail Manoilescu and the Debate of the 1930s
Bibliographic record
Abstract
The concept of Unequal Exchange played a large role in the debates on economic development in the quarter century after 1950, and it surfaced in three traditions – Latin American structuralism (Raul Prebisch, Hans W. Singer), Marxism (Arghiri Emmanuel) and Dependency (Andre Gunder Frank, Samir Amin). Yet Unequal Exchange made its first formal appearance in the work of Mihail Manoilescu, the Romanian trade theorist who challenged neoclassical trade theory between the two world wars. His place in the trade debate is often ignored in the postwar discussions of Unequal Exchange. A man of many parts, Mihail Manoilescu had an international reputation as a theorist of corporatism as well as an economist. Yet it also seems that he wanted to succeed at politics more than at anything else – he was ‘'furiously ambitious’, in the words of the British Ambassador to Romania in 1940, and Manoilescu was a stereotypical Balkan politician in his opportunism. Born in 1891, Manoilescu came from a modest background. His parents were secondary school teachers at Iasi, the capital of Moldavia. Manoilescu studied engineering at the School of Bridge and Highway Construction at Bucharest and led his class every year. There he also became a friend of the future King Carol II. Manoilescu received his engineering degree in 1915, and during the First World War worked in the National Munitions Office. His energy, cleverness and ability to form useful connections allowed him to become Director-General of Industry in 1920 and to organize the first industrial exhibition of Greater Romania in 1921 (Manoliu 1936, 10).
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".