Sites in the imagination: the Beaumont Hamel Newfoundland Memorial on the Somme
Bibliographic record
Abstract
The Beaumont Hamel Newfoundland Memorial is a 16.5-hectare (40 acres) tract of preserved battleground dedicated to the memory of the 1st Newfoundland Regiment, who suffered an extremely high percentage of casualties during the first day of the Battle of the Somme in July 1916. Beaumont Hamel Memorial is an extremely complex landscape of commemoration where Newfoundland, Canadian, Scottish and British imperial associations compete for prominence. It is argued here that those who chose the site of the Park, and subsequently reordered its topography, helped to contrive a particular historical narrative that prioritized certain memories over others. In its design, the park has been arranged to indicate the causal relationship between distant military command and immediate front-line response, and its topographical layout focuses exclusively on a 30-minute military action during a 50-month war. In its preserved state the part played by the Royal Newfoundland Regiment can be measured, walked and vicariously experienced. Such an achievement has required close semiotic control and territorial demarcation in order to render the ‘invisible past’ visible, and to convert an emptied landscape into significant reconstructed space. This paper examines the initial preparation of the site in the 1920s and more recent periods of conservation and reconstruction. The author examines precedents for the preservation of battlefields, the spatiality of commemoration and the expectations aroused by such sites of memory. By focusing on the Beaumont Hamel memorial site the author explores several areas of contention: historical accuracy, topographical legibility and freedom of access.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".