Le <i>Nomenclator</i> de Robert Constantin (1555), première bibliographie française ?
Bibliographic record
Abstract
Even if one can discover lists of books that were printed in France before 1555, the Nomenclator seems to be the first work solely devoted to bibliographic inventory ever printed on French soil. Yet it is a relatively unknown publication – issuing from an unfamiliar hand. This thin volume, of fewer than 200 pages has not interested critics until now. Before presenting the materiality and problematic of this small in octavo, so modest when compared to the enormous in folio published by Gesner ten years earlier from which it derives, this article describes the personality and the works of R. Constantin, a preeminent Hellenist, born at Caen in 1530, and author of the Nomenclator, his first printed work. A friend of Daléchamps and a man interested in medical works, Constantin is linked to the new humanist scene. The precise analysis of the bibliographic work, title, sources, and references present in the Nomenclator show the scholarly tastes and reformed convictions of its author. This analysis also brings to light the hierarchy of bodies of knowledge and authors. Lastly, it demonstrates the ambition of its young author, namely: recognition within the humanist environment. This article concludes with a study of the reception of this first bibliography, once famous in the past.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".