Investigation of Sheriff Stuart’s black granite quarries in Charlotte County, southwestern New Brunswick: implications for the source of the titanic headstones in Halifax, Nova Scotia
Bibliographic record
Abstract
Robert Albert Stuart, the High Sheriff of Charlotte County, deserves credit for establishing the black granite monument industry in New Brunswick. In the late 19th to early 20th centuries, he opened three quarries in mafic plutonic rocks in the vicinity of the Chickahominy Mountain, north of St. Andrews: the Bocabec black granite quarry (1893), the Steen Lake black granite quarry (1895), and the Glenelg porphyry quarry (1906). Much of the information in brief articles in local newspapers lacks sufficient detail to gain a full understanding of the historical development of these quarries. To obtain a clearer timeline for production of stone from the quarries, the rock type in each was examined and compared to black granite monuments in nearby cemeteries known to be sourced from these specific quarries. Previous investigations did not entirely rule out the possibility that the Stuart quarries may have been a source for the headstones placed in the Fairview Lawn Cemetery in Halifax, Nova Scotia, to mark the graves of some of those who were lost when the Titanic sank in 1912. Our detailed analysis of rock textures and production histories leads us to conclude that none of the Stuart quarries could have been a source for the Titanic headstones and supports the previous assessment that they came from Charles Hanson quarry.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".