Bibliographic record
Abstract
Abstract Linguistic Turns rewrites the intellectual and cultural history of early twentieth-century Europe. In chapters that range over the work of Saussure, Russell, Wittgenstein, Bakhtin, Benjamin, Cassirer, Shklovskii, the Russian Futurists, Ogden and Richards, Sorel, Gramsci, and others, it shows how European intellectuals came to invest ‘language’ with extraordinary force, at a time when the social and political order of the continent was in question. By examining linguistic turns in concert rather than in isolation, Hirschkop changes the way we see them—no longer simply as moves in individual disciplines, but as elements of a larger constellation, held together by common concerns and anxieties. In a series of detailed readings, he reveals how each linguistic turn invested ‘language as such’ with powers that could redeem not just individual disciplines but Europe itself. We see how, in the hands of different writers, language becomes a model of social and political order, a tool guaranteeing analytical precision, a vehicle of dynamic change, a storehouse of mythical collective energy, a template for civil society, and an image of justice itself. By detailing the force linguistic turns attribute to language, and the way in which they contrast ‘language as such’ with actual language, Hirschkop dissects the investments made in words and sentences and the visions behind them. The constellation of linguistic turns is explored as an intellectual event in its own right and as the pursuit of social theory by other means.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".