Bibliographic record
Abstract
Chapter 5 examines in the 1745 Jacobite Rising in the context of the expansion of the periodical press and the print marketplace in the mid-eighteenth century. Information about the events of the 1745 Rising was made available to readers in a more continuous and a more pervasive way than during the 1715 Rising. The chapter explores how this expanding circulation of information prompted greater concern not just about the trustworthiness of the genres of the newspaper and the political pamphlet but also about how citizens were consuming information. It next focuses on three genres of printed works produced after the Battle of Culloden (1746) that reworked newspaper reports into their narratives: accounts of the trials and executions of the rebels, “Chevalier” or “Pretender” narratives about the escape of Charles Edward Stuart, and popular histories. With their conscious and unconscious intertextual borrowings, these printed works, like those of the 1715 Rising, inscribe the cultural memory of the 1745 as a series of complicated knots of memory.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".