Bibliographic record
Abstract
Wallerstein came of age intellectually at Columbia University, where he was an undergraduate, graduate student and faculty member for a quarter of a century (1947-1971). While we often think of his work on African politics and his concern with third world development as precur-sors to world-system theory, a large part of his intellectual biography was shaped by those Columbia years. They mark the high point of a triple hegemony of university, city, and nation, as at this time Columbia was the leading university in the leading city of the hegemonic nation. It was a time before the 1960s when the New Left and Berkeley would challenge the centrality of New York and Columbia as undisputed centers of American social thought and it was before what would be called the policy intellectuals would emerge in Washington DC in the 1970s/80s. It was also a time before the great in?ux of federal money in the 1960s which spurred social research and lifted other universities to prominence. It was a time of what I will call The Columbia Social Essayists, referring to scholar/intellectuals such as C. Wright Mills, Daniel Bell, Lionel Trilling, Richard Hofstadter and Meyer Schapiro.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".