Review of “Zygmunt Bauman and the West: A Sociology of Intellectual Exile”
Bibliographic record
Abstract
Zygmunt Bauman (1925–2017) is among sociology’s most prolific contributors to the discipline’s engagement across diverse global publics. Few might claim to know the fullness of his work, but, thanks to Izabela Wagner’s recent biography, we all might know his life much better. While Jack Palmer builds our appreciation for Bauman’s wide-ranging intellectuality, he also extends a conventional sociology of an intellectual (with his inspired reading of the substantial archive in the name of Janina (his first wife) and Zygmunt Bauman at Leeds) in both predictable and potentially consequential directions. The first audience likely to appreciate this volume is the substantial community who has drawn on Zygmunt Bauman for their own scholarship and public engagement. I certainly count myself in that group, initially because of my own commitment to the critical sociology of Soviet-type society. But for the larger community who work in cultural sociology and especially the sociology of intellectuals, Bauman matters, respectively, for his liquid metaphors and his critical distinction between legislators and interpreters as intellectual types. Of course, his work on the Holocaust and modernity may have had the greatest singular impact of all his works. But one must be a Bauman devotee of sorts to have followed his wide-ranging intellectual journey. Palmer offers disciples a helpful, and novel, roadmap.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.007 |
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".