Bibliographic record
Abstract
This thesis examines French efforts to project their power onto Britain during the Middle Ages, engaging the Welsh as their partners. The subsequent chapters contribute fresh analysis on a range of leaders and periods. This has been done using new theories, particularly military ones, and pushes the boundaries of this area of studies. The concepts of ‘bracketing alliances’ and the strategy of ‘cultivate and eradicate’ have been introduced and applied to this research. In addition, the thesis includes works not commonly found in such a study; reaching outside the field to help clarify points of analysis. For example, Sun Tzu has been included to demonstrate that medieval rulers were practising the most effective methods of warfare, as we recognise them today. Also, by applying modern diplomatic theory, such as ‘Soft Power’, this research not only gives these ideas a wider conceptual use but also connects and makes relevant medieval events to the modern world. \nOn a broader level, these French-Welsh links demand wider exposure, whether from the perspective of the French attempting to articulate their power within Britain or the Welsh playing a role on the continental stage. This thesis presents new perceptions of these leaders, the conflicts of their times, their diplomatic initiatives and the power relations of the age. Its primary thrusts, therefore, are the dissection of the form and impact of these diplomatic and military relations, focussing on French efforts to project their power onto Britain at moments when friendship was co-ordinated with Welsh leaders. In recognition of the many subjects researched, and to borrow shamelessly from William of Malmesbury, and certainly others, I give note; ‘uolo enim hoc opus esse multarum historiarum breuiarium.’1
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".