Understanding the historic legacies of empire from the timbers left behind: Towards critical dendroprovenancing in the British North Atlantic
Bibliographic record
Abstract
Abstract The forests of British North America were integral to Britain's maritime empire. Many of these timbers exist today as wooden beams and flooring at historical dockyards and garrisons such as the Royal Naval Dockyard of Bermuda. In this paper, we investigate what timbers from this Dockyard can tell us about interconnections and empire‐building throughout the North Atlantic region. To do this we drew from approaches of critical physical geography, historical geography, and dendroprovenancing by using timber as a way to interrogate collaboratively the changes in—and connections across—socio‐ecological landscapes. We examined HM Customs records between 1825 and 1850 to determine the flow of timbers to Bermuda. We then sampled timbers from buildings constructed between 1825 and 1853 and analyzed them using isotopic and dendrochronological techniques to establish the probable location of origin of the timber samples. HM Customs records showed that prior to the 1840s, timbers primarily came from British North America, whereas post‐1840 timbers primarily came from the southeastern United States, with some still coming from Europe and British North America. To establish whether timber use by the Royal Navy and Royal Engineers matched the pattern in the customs documents, we looked to the dendrochronological records. Dendrochronologic evidence showed that military construction followed the same pattern, with buildings constructed pre‐1840 using material from British North America and buildings constructed post‐1840 using timbers sourced from the southeastern United States. Finally, using this information we explore some of the connections between regions, in terms of resource use, and the implications of those uses—for example, that the British Admiralty continued to benefit from the practices of slavery through the use of products produced from enslaved labour in other parts of the North Atlantic well after emancipation.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".