Bibliographic record
Abstract
James Hogg (1770-1835) is increasingly recognised as a major Scottish author and one of the most original figures in European Romanticism. 16 essays written by international experts on Hogg draw on recent breakthroughs in research to illuminate the contexts and debates that helped to shape his writings. The book provides an indispensable guide to Hogg's life and worlds, his publishing history, reception and reputation, his treatments of politics, religion, nationality, social class, sexuality and gender, and the diverse literary forms - ballads, songs, poems, drama, short stories, novels, periodicals - in which he wrote. Key Features: Thorough coverage of the whole of Hogg's works, career and contexts, as well as detailed considerations of his most famous work, Private Memoirs and Confessions of a Justified Sinner The contributors are all major figures in Hogg studies and include editors of the definitive Stirling South Carolina Research Edition of the Collected Works of James Hogg, including Caroline McCracken-Flesher (Wyoming), Hans de Groot (Toronto), Penny Fielding(Edinburgh), Peter Garside (Edinburgh) and Gillian Hughes.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.012 |
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".