Bibliographic record
Abstract
Abstract This chapter searches for the proximate cause of chambers over 1760-1800. It reviews the discourse on ‘chambers’, how this linked with reassessing the trading relationships with the colonies, and how it interfaced with existing lobby mechanisms, including American agents. It analyses how a new ‘discourse coalition’ emerged supporting ‘reform’, and how this worked with the opposition, and the Rockingham, Shelburne, and Pitt administrations. It focuses on the role of American unrest leading to rebellion; how this was articulated through American merchants in New York, Boston, and Charleston; and how localities in Britain and Ireland responded. New analysis of the Stamp Act, Wilkes, and other petitions demonstrates how key participants became leading forces behind the early chambers on both sides of the Atlantic. Entirely new information on the first Liverpool, Manchester, and other early chambers is developed. Responses in Jersey, Guernsey, and Quebec echo the general pattern. Early chamber leaders are shown to be pro-reform, but treading an uneasy path between attacking the government and resisting revolution.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".