LOUIS-PIERRE SIRET (1745-1797) ET LA GRAMMATICOGRAPHIE DU PORTUGAIS LANGUE ÉTRANGERE
Bibliographic record
Abstract
Louis-Pierre Siret is a well known name in the history of foreign language teaching in France. Being from the Age of Enlightenment, the intellectual activity of this philologist reflects the grammatical thought of the time, as well as the reformist ideas of major writers from French Enlightenment, such as Du Marsais, Pluche, Radonvilliers, who he cites in his work Éléments de la langue angloise, ou méthode pratique pour apprendre facilement cette langue (Paris, 1773). Evidence of the wide spread recognition of this manual is its use in English classes at the Séminaire de Québec and the Collège-Séminaire de Nicolet, during the nineteenth century. In addition to this English grammar, Siret’s bibliography in the field of foreign language grammaticography also includes two lesser known grammars: Élémens de la langue italienne, ou Méthode pratique pour apprendre facilement cette langue (Paris, 1797) and Grammaire française et portugaise (Paris, 1799), the latter reprinted, with several changes, in 1854 by José da Fonseca (c.1788-1866). Based on the study of this PFL grammar (1st and 2nd editions), the work proposed here aims, on the one hand to evaluate the contribution of Louis-Pierre Siret in the field PFL grammaticography and, on the other, to evaluate the effects of the Enlightenment on linguistics in this field within the context of the ideological renewal already present in the Grammaire générale de Port-Royal (1660).
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".