La rédemption par l’Histoire: le cas de Pierre Matthieu (1563-1621)
Bibliographic record
Abstract
Les troubles de religion qui secouèrent la France durant la seconde moitié du XVIe siècle prirent fin lorsqu’Henri IV réussit à mettre de l’avant une politique de réconciliation nationale grâce à laquelle ses ennemis d’hier se rallièrent à son autorité. Ce processus s’articula autour d’une double réconciliation, la première religieuse, la seconde politique. Tout d’abord, le roi abjura le protestantisme et revint à la religion de ses ancêtres. Ce « saut périlleux » amena ses adversaires à se convertir à son parti. Ils avouèrent leurs fautes, demandèrent pardon au souverain, firent rédemption en promettant de lui être fidèle et de travailler à la restauration du royaume dans son ancienne gloire. Cet article examine comment l’homme de lettres catholique Pierre Matthieu (1563-1621) chercha à assurer sa réconciliation avec Henri IV. L’écriture de l’Histoire des derniers troubles de France fut pour lui une œuvre rédemptrice qui lui permit de « brûler ce qu’il avait adoré, et d’adorer ce qu’il avait brûlé ».
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".