Bibliographic record
Abstract
Sent by the French crown, commandant general Jean-Baptiste Le Moyne, Sieur de Bienville, established La Nouvelle-Orlans on the banks of the Mississippi river in 1718, negotiating with the native Chitimacha and facing epidemics, tribal wars, and foot shortages. Born in 1680 in Montreal, Bienville became a French naval cadet and joined his brother Pierre’s crew, Sieur d’Iberville, at 16. With Iberville, Bienville travelled the Mississippi Valley, trading with and learning from the Native Americans. Events of note include Bienville’s conflict with governor La Mothe Cadillac and Bienville’s negotiations with the Natchez royalty that ended with breaking ground at New Orleans. Due to conflicts with French officials, Bienville was recalled to Paris in 1723, and Company of the Indies took over New Orleans governance. Tensions arose between the settlers and Natchez, worsened by the actions of Étienne de Chépart, who was eventually killed in a Natchez attack. The new governor, Étienne Boucher de Périer, violently retaliated against the Native Americans, and Company of the Indies officials responded to its catastrophic losses by washing their hands of Louisiana. In 1732, the king sent Bienville back as governor.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.352 | 0.099 |
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".