Bibliographic record
Abstract
Abstract In 1719, Jean-François-Benjamin Dumont de Montigny, son of a Paris lawyer, set sail for Louisiana with a commission as a lieutenant after a year in Quebec. During his peregrinations over the next eighteen years, Dumont came to challenge corrupt officials, found himself in jail, eked out a living as a colonial subsistence farmer, survived life-threatening storms and epidemics, encountered pirates, witnessed the 1719 battle for Pensacola, described the 1729 Natchez Uprising, and gave account of the 1739–1740 French expedition against the Chickasaws. Dumont's adventures, as recorded in his 1747 memoir conserved at the Newberry Library, underscore the complexity of the expanding French Atlantic world, offering a singular perspective on early colonialism in Louisiana. His life story also provides detailed descriptions and illustrations of the peoples and environment of the lower Mississippi valley. This English translation of the unabridged memoir features a new introduction, maps, and a biographical dictionary to enhance the text. Dumont emerges here as an important colonial voice and brings to vivid life the French.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".