Graveyard rocks: Lt John Irving’s memorial in the Dean Cemetery, Edinburgh
Bibliographic record
Abstract
Without a hint of the macabre, geologists are commonly attracted to cemeteries; but not so much to celebrate the dear departed as to admire the lithologies in which their eulogies have been inscribed. Here in Edinburgh, we are spoilt for choice, but for one memorial in the Dean Cemetery it is the loose rocks piled up around the base of the formal monument that are as much a geological attraction as the gravestone itself (Figure 1), particularly given the dramatic historical circumstances of the grave. This is the last resting place of Lt John Irving (1815–1848?), a casualty of Sir John Franklin’s ill-fated attempt to force the North-West Passage through the frozen waters of the Canadian Arctic, the notorious Erebus and Terror expedition that set sail from the Royal Navy’s Woolwich dockyard in May 1845.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.008 | 0.012 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 0.014 |
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; both teacher heads agree on what is shown here.
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".