Life & Death at Woodland Cemetery
Bibliographic record
Abstract
Beyond genealogy, the historical and natural landscapes of cemeteries reveal much about the past. Not only do the stones tell us about disease and mortality, but they reflect broader historical and societal trends in Canada. Able to afford more expensive plots on hilltops, the wealthy often chose ostentatious markers which tower over the more modest stones of the middle class located on lower ground. Maple trees represent strength and endurance in the face of grief, but their leaves carved on war graves act as national emblems. Use of Roman and Greek architectural elements on grave markers and mausolea reflect the popularity of neoclassicism in nineteenth century art. The general lack of maiden names on the early graves of women records their subordinate position to their husbands. An epitaph tells us about the deceased’s spiritual or poetic preferences while a masonic symbol indicates the dead’s fraternal ties. Immigrants honour their origins through imagery such as Scottish thistles and Celtic crosses, or by inscribing their birthplace on their gravestones. Inscriptions in mother tongues other than English demonstrate that cultural differences are as important in death as in life. Cemeteries have always been for the living as well as the dead. Today, Woodland Cemetery inspires photographers, provides recreational green space in the city, and preserves local history through walking tours and gravestone restoration. Each year the Master’s in Public History students at Western University collaborate with a community partner to complete a project that presents history to a public audience. In 2017-18, students researched the history of London’s Woodland Cemetery. 140 years after its creation in 1879, it is a fitting time to examine its significance to London’s cultural and natural heritage. xix
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.193 | 0.033 |
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".