Bibliographic record
Abstract
In the English speaking world, Seymour Martin Lipset was arguably the most important political sociologist of the second half of the twentieth century.Certainly he was one of them.Claims such as these are always invidious, but it is clear that Lipset's work stands out in a number of respects.The sheer range and volume of his writings is phenomenal.Over a period of fifty years he produced some 25 books, edited another 25, and wrote at least 485 articles and commentaries (Marks andDiamond 1992 and Lipset 1996).But more than this, the centrality of the issues he addressed, their rootedness in classic questions of the sociological canon, and the impact he had on other scholars, all attest to the special significance of his work.During his working life, Lipset moved every ten years or so, holding posts at Columbia, Berkeley, Harvard and Stanford, before moving in retirement to George Mason University.In addition, he played a major role in fostering collaboration both within North America and beyond.And he won a unique level of recognition from his peers, becoming the only person to have been elected President of both the American Political Science Association and the American Sociological Association. Activist originsRight at the beginning of this corpus of work sits the research for 'Democracy in Private Government' (2010 [1952]).Lipset's lifelong intellectual and scholarly agenda emerged from his early activist commitments and involvement in socialist politics.Initially a Trotskyist, while a young student at the beginning of the Second World War, he remained in the (social democratic) Socialist Party until 1960, before latter shifting to what he described as a 'centrist' or 'conservative' Democratic party position (Lipset 1996: 1).It was activist debates that led him to Michels' Political Parties (1947) and the 'iron law of oligarchy'.For Michels seemed to offer an explanation both for the autocratic outcome of the communist experiment in Russia and for the failure of social democratic
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".