Society, History, and the Global Human Condition
Bibliographic record
Abstract
This Festschrift for Irving M. Zeitlin honors a scholar whose work has influenced and continues to influence sociology, particularly classical sociological theory, sociology of religion, and historical sociology. Irving M. Zeitlin's scholarship and mentoring has also influenced and inspired a new generation of sociologists. The essays presented here address a wide range of topics that include classical sociological theory, globalization, bureaucracy, genocide, resistance, ethnic diversity, the intifada, anti-Semitism, democracy, geopolitical theory, war literature, science, and national culture. The contributions span a wide range of geographical areas that include Korea, China, India, Poland, Spain, Germany, the ex-Soviet Union, Canada, and the United States. These essays by eminent scholars located in many parts of the world affirm the incredibly broad range of expertise and learning that Irving M. Zeitlin's work has engaged with. The contributions to this volume also serve to highlight the contemporary relevance of the classical sociological tradition in making sense of the global human condition.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".