Improving useful species: a public policy of the Directoire regime and Napoleonic Empire in Europe (1795-1815)
Bibliographic record
Abstract
When the French Revolutionary and Napoleonic Armies conquered most of Europe, they found unknown or hardly known plant and animal species. French naturalists, particularly the so-called agronomists led by botanists and zoologists, supported by the financial and political backing of the State, shaped an ambitious “Nature Policy”. They imported new species of plants and animals from the occupied territories to introduce them into France. The biological regeneration of French herds and agriculture was the main goal of this public policy. A unidirectional circulation from throughout the European continent towards France occurred from 1799 to 1815. But the continental blockade in 1806 cut off the supply of certain products and raw materials such as sugar, indigo and cotton. On a continental scale, in the most adapted parts of its Empire the Napoleonic State implemented an impressive policy of introducing and acclimatizing exotic plant species from many regions of the world. Many questions arise from this unprecedented circulation of plant and animal species within “French Europe”: How was it organised? On which circuits and networks did it rely? What was the role of the French state in that biological challenge? Finally, why were the results of that biological policy so disappointing?
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".