Bibliographic record
Abstract
Abstract Islands have a disproportionate role – as strategic locations, as imaginative or symbolic locales, as extractive zones and as ecological bellwethers – in oceanic imperial histories. They were and are places of ‘great practical use and metaphorical power’. And yet Newfoundland was seen (and continues to be seen) as marginal and peripheral, even if the biomass that was pulled out of its ocean fed – quite literally – a global network of exploitation. This article uses four overlapping maps to tell four overlapping stories: James Cook’s circumnavigation of the island in 1763–8; Lt David Buchan’s trek into the interior to contact the Beothuk in 1811 and 1820; William Eppes Cormack and Joseph Sylvester’s trek across the island in 1822; and finally, a series of story-maps created by Shanawdithit, who is apocryphally known as ‘the last of the Beothuk’. In doing so, it draws in Indigenous ‘storywork’ and cartographic histories and makes a case for storytelling as powerful methodology for examining overlooked colonial histories. These maps and stories highlight the complexity of encounter with a place rather than a coherence of colonial ideologies. Through the stories these maps help me tell, I hope to show how the peripheries of some people’s empires were the centres of other people’s worlds.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".