:Le Blanc de France: La construction des signes identitaires pendant les guerres de religion (1562–1629).<i>(Travaux d'Humanisme et Renaissance, number 396.)</i>
Bibliographic record
Abstract
Denise Turrel's book is yet another worthy study that underscores the sophistication of early modern symbology. The author examines the shifting usage and meaning of the color white over the course of the French Wars of Religion. Specifically, Turrel is fascinated by the emergence of the white scarf as emblematic of the seventeenth-century French monarchy and nation. As she points out in her introduction, the white scarf was the well-recognized symbol of French military authority on the battlefields of seventeenth-century Europe. However, its origins lay in Huguenot resistance to royal authority during the earliest days of the French civil wars. The thrust of this clear and well-researched study is to understand the transformation of the usage of the color white between 1562 and 1629, and in doing so the transformation of the French nation in the hands of its first Bourbon ruler, the erstwhile Protestant Henry of Navarre. Contemporary memoirs and histories written from a variety of political perspectives as well as visual representations (paintings, engravings, tapestries) of the key figures and events of the Wars of Religion provide the bulk of Turrel's source base.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".