Bibliographic record
Abstract
Major General Sir Isaac Brock is remembered as the Hero of Upper Canada for his defence of what is now Ontario during the War of 1812, and also for his noble death at the Battle of Queenston Heights. In the more than two centuries since then, Brock’s likeness has been lost in a confusing array of portraits—most of which are misidentified or conceptual. The 1824 monument constructed to honour Brock’s sacrifice was destroyed in 1840 by Benjamin Lett, a disgruntled disciple of William Lyon Mackenzie and critic of the Upper Canadian elite. The replacement and subsequent commemorations emphasized a patriotic desire to visualize the hero’s appearance. But despite uncovering an authentic portrait painted only a few years before Brock’s death, a series of false faces were promoted to serve competing claims and agendas. St-Denis situates Brock’s portraits within an emerging English Canadian imperial nationalism that sought a heroic past which reflected their own aspirations and ambitions. A work of detailed scholarship and a fascinating detective story, The True Face of Sir Isaac Brock details the sometimes petty world of self-proclaimed guardians of the past, the complex process of identification and misidentification that often occurs even at esteemed Canadian institutions, and St-Denis’ own meticulous work as he separates fact from fiction to finally reveal Brock’s true face.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".