Policing printers and booksellers before and after 1789: a case study in Bordeaux
Bibliographic record
Abstract
Abstract This article examines the Bordeaux bookseller and printer Arnaud-Antoine Pallandre’s two censorship trials in 1775 and 1790 to compare state–media relations during the late Bourbon monarchy and the French Revolution. An entourage of protectors kept Pallandre in business even though he flouted pre-revolutionary book trade legislation. After 1789, his printing and bookselling shop became a centre of pamphlet sales and counter-revolutionary gatherings that came under intense scrutiny by patriots in the clubs, the National Guard and the crowds, who pressured the municipal governments to end Pallandre’s trade in counter-revolutionary pamphlets. He eventually went to the guillotine in 1794. This article suggests that members of formerly privileged groups continued to wield considerable influence over printers and booksellers in France after 1789, making them objects of both government and popular censorship. In the struggle to achieve limits on a free press, printers and booksellers came to be regarded as individuals with public (potentially dangerous) political affiliations in a new way, a development that may help explain the high levels of media repression in the French Revolution.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".