Bibliographic record
Abstract
This chapter is a case study of James FitzGibbon, the “Irish Everyman” of Upper Canada. He was one of the best-known Irishmen in the Canadas in the first half of the nineteenth century, with a sterling public reputation for heroism, physical courage, and gentlemanly conduct during his lifetime. A protégé of General Sir Isaac Brock and a noted officer during the War of 1812, FitzGibbon later was a famous mediator between Irish Catholic immigrants and the colonial establishment and a ‘one-man riot squad’ when threats of Irish violence turned into actual altercations. After the 1840s, however, he became a mostly forgotten figure, in part perhaps because his representations of Irish manliness and heroism were so thoroughly traditional. This chapter is the first to explore his importance to his fellow Irishmen in the Canadas and to the colonial establishment through ethnic and gendered paradigms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".