Bibliographic record
Abstract
Illustrates how the financial thriller is deeply intertwined with the economic transformation of the 1970s and considers the genre’s enduring legacy in today's financialised world Offers the first in-depth analytical and theoretical account of the financial thriller genre Provides a new framework for understanding the literary and economic history of the 1970s, linking the rise of financial thrillers to significant economic events such as the abolition of Bretton Woods and the oil crises Anatomizes the genre’s thematic trinity of money, gold, and oil, its stereotypical characters, its volatile plots, and its pedagogical and moral impulses Demonstrates the genre’s relevance to contemporary financial fictions and financial capitalism Discover the untold story of the financial thriller, a genre pioneered by Canadian banker-turned-author Paul Erdman from a Swiss prison cell. Starting with the publication of The Billion Dollar Sure Thing in 1973, this book explores the genre’s evolution as a popular and even vulgar genre of financialisation, characterised by volatile plots centred on currency speculation where the central mystery is money, not murder. By contextualising the rise of financial thrillers within the dramatic events of the 1970s, such as the abolition of the Bretton Woods system and the oil crises, this book illustrates how a genre found the world of finance during a particular historical moment, but also how the world of finance found its genre. This compelling narrative connects the past to our present financial landscape, making it essential for anyone interested in the intersection of economic, literary and cultural 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".