The Politicization of Everyday Life in Cleave's Weekly Police Gazette (1834-36)
Bibliographic record
Abstract
With circulation as high as 40,000, Cleave's Weekly Police Gazette, published 1834–36, was one of the first and most popular unstamped newspapers to mix political news with coverage of non-political events like sensational crimes, strange occurrences, and excerpts from popular fiction. Scholars have differed widely in their interpretations of the fact that the paper's mixture of radical politics and "entertainment" outsold unstamped papers that offered undiluted political news, such as Hetherington's Poor Man's Guardian (1831–35), whose circulation peaked at around 16,000. Some, like Louis James and Virginia Berridge, argue that Cleave's helped to co-opt legitimate working-class political discourse by cultivating a taste for sensational Sunday papers and melodramatic fiction. Others, like Ian Haywood and Iain McCalman, argue that the paper's mixture of what Haywood calls the "genres" of "popular pleasure and radical politics" empowered radicalism, by articulating its "new" political discourse onto popular traditions of festivity and sensationalism. And while both Joel Wiener and Patricia Hollis recognize the difference between purely political papers and "mixed-genre" ones like Cleave's in their histories of the unstamped press, they interpret that difference only minimally, focusing instead (and quite reasonably) on the unstamped press as a politically homogenous radical movement.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".