Bibliographic record
Abstract
This final section makes up the majority of the journal. Craig explores six individual regions and unique operations within the tramp-shipping industires. The first subsection is devoted to Wales, and considers the ports and shipping industry of Glamorgan between 1750 and 1914; the actions of the Radcliffe Company in South Wales between 1882-1921; the specifics of the 1860s shipping industry at Llanelli; the specifics of the 1840s shipping industry in Carmarthenshire; and the Hetty Ellen of Aberystwyth and Doctor Livingstone. The second considers the Northwest, examining the River Dee during the Eighteenth century and the shipbuilding and shipping industry of Chester during the Nineteenth. The third looks at the West Country, tracing the history of mercantile shipping in Devon between 1750 and 1920. The fourth looks at the Northeast and the shipbuilding William Gray and Company of Hartlepool. The fifth concerns the Southeast and the deep-sea shipping of Thanet in the mid-Eighteenth century. The final subsection considers the British Empire in Canada, studying the British and British North-American Shipbuilding industry in the early Nineteenth century, with particular focus on Prince Edward Island. Each section contains a thorough history, including timelines, tables, and maps, where relevant.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.087 | 0.017 |
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".