Bibliographic record
Abstract
This work, the culmination of 30 years of systematic, comprehensive comparison of 19 rich democracies, answers two basic questions: What is distinctly modern about modern societies—in what ways are they becoming alike? How do variations in types of political economy shape system performance? The text specifies similarities and differences in the structure and interplay of government, political parties, the mass media, industry, labor, professions, agriculture, churches, and voluntary associations. It then demonstrates how differences in bargaining arrangements among these groups lead to contrasting policy profiles and patterns of taxing and spending, which in turn explain a large number of outcomes: economic performance, political legitimacy, equality, job security, safety and risk, real health, the reduction of poverty and environmental threats, and the effectiveness and fairness of regulatory regimes. Drawing on quantitative data and case studies covering the last 50 years and more than 400 interviews conducted with top decision-makers and advisors, the book provides a richly detailed account of the common social, economic, and labor problems modern governments confront and their contrasting styles of conflict resolution. The result is new light on the likely paths of development of rich democracies as they become richer. Assessing alternative theories, the book offers a critique of such images of modern society as “post-industrial” or “high-tech”, “the information age” or the alleged dominance of “globalization”.
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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".