Bibliographic record
Abstract
Abstract The quarter‐century or so after World War II was a period when growth was relatively fast, demand was high, and unemployment was low, and when there were no large fluctuations as defined in this book; it is referred to as the Golden Age, and raises large questions of a sort central to the purpose of the book. Section 7.1 gives an overview of the period, and Sect. 7.2 then considers the main questions raised: what caused fast growth and high demand to continue for so long, or prevented small recessions from developing (as in other periods) into big ones; were the conditions that produced the Golden Age simply exceptional in the history of developed economies and something we are unlikely to see again; and if so what did this lucky chance consist of? While there were no large fluctuations, there was a succession of small ones, and in Sect. 7.3, these are compared with the larger fluctuations that occurred in other periods, and the question of whether they were due to mistaken policy or to something more basic is looked at. Section 7.4 comes back to the larger issues: did this Golden Age contain within itself the seeds of its own destruction; were there developments in the period (such as accelerating inflation, or the flagging of investment demand) which would have brought the long period of fast growth and high demand to an end without an exogenous shock? Finally, Sect. 7.5 draws some general conclusions about the behaviour of the economy.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".