<b>Michel Beaud,</b><b> <i>A History of Capitalism 1500–2000</i> </b> (5th Edition). New York: Monthly Review Press, 2001. viii + 348 pp. $55.00 cloth; $24.95 paper.
Bibliographic record
Abstract
The “highly-anticipated” fifth edition of Michel Beaud's classic A History of Capitalism delivers what it promises. In the first place, there is the rich original text, already widely recognized as an important examination of economic, social, and political history organized around the dynamic evolution of capitalism, now supplemented with previously unavailable diagrams and flowcharts. There are also significant additions to the original text, first published in 1981, which both extend the examination up to the end of the twentieth century (and a new “technoscientistic” stage of capitalism), as well as useful re-synthesizing of some of the original text with the benefit of hindsight. In short, the new edition of Beaud's book offers a usefully updated and improved version of what is already established as an important contribution to economic, social, and political history.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".