Ida Greaves – A pioneer development economist by Barbara Ingham (2024) New York: Routledge DOI: 10.43224/9781003393825
Bibliographic record
Abstract
This biographical study of the little-known Barbados born female economist, Ida Cecil Greaves, describes a remarkable career which unfolded over the first half of the twentieth century. Ida Greaves was born in 1907 and we learn that her education and career took her from the Caribbean to England, to Canada, to the United States, to South America and West Africa. The book describes her early years and education in Barbados and England, her studies at McGill University, Canada, her doctoral research at the London School of Economics and her academic career which included appointments at Harvard and Colombia and the London School of Economics. She acted as an economic adviser to the Colonial Office in London, working with the Caribbean economist and Nobel laureate, Arthur Lewis, and worked briefly for the United Nations in New York. The research underlying this important and neglected biography provides rich detail on the socio-political and historical context of the time. We read about the personalities and institutions that provided the backdrop to Ida Greaves’s academic achievements, the barriers she had to overcome as a female academic and the battles she was part of.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.022 |
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".