Raymond Campbell Paterson. <i>My Wound is Deep: A History of the Later Anglo-Scots Wars, 1380-1560</i>
Bibliographic record
Abstract
he subject of Anglo-Scottish conflict during the period encapsulated by this work has been well-documented, as is evident from a simple glance at its bibliography.Upon closer inspection, however, it is also evident that with respect to recent scholarship, the pickings have been somewhat slim: only thirty percent of Paterson's secondary sources have been produced in the last twenty-five years.Anglo-Scottish military history would appear to be one of those areas of inquiry which has suffered as scholarly interest in matters other than 'high' history has grown; it is apparent that there is much work to be done in order to bring the subject up to date.With respect to innovation or insight, however, My Wound is Deep has nothing to offer us, nor indeed does Paterson make any pretensions to the same.Instead, he has set before himself the task of condensing the substantial weight of aforementioned scholarship into a straightforward, coherent and readable narrative, and in
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".