Bibliographic record
Abstract
<div>An adventure story from the wilds of early America, <i>The Land between the Rivers</i> recreates the journeys of the English botanist Thomas Nuttall, one of American history's most well-traveled scientists.<br> <br> During the early nineteenth century, Nuttall explored the waters, valleys, plains, and mountains of the Great Lakes, Ohio River, Mississippi River, as well as the Missouri, Arkansas, Red, and Canadian river valleys of the former Louisiana Territory.<br> <br> In this fascinating account of Nuttall's travels through the wilderness of the middle west, author Russell Lawson-using Nuttall's own journal-captures the sense of excitement of the early wanderer. As much a delight for the mind as the senses, The Land between the Rivers details the unremitting weather and rugged geography of uncharted lands within the Louisiana Territory. A sense of discovery pervades the narrative as Nuttall's odyssey builds to its climax in the prairie wilderness of what is now Oklahoma. Sickened by "ague"-in his case, malaria-Nuttall at times was barely able to go on; yet he continued to search for and catalog plants and animals.<br> <br> <i>The Land between the Rivers</i> expands our knowledge of the work of one of the country's earliest botanists. We also learn a great deal about the early explorers, the inhabitants of the unsettled land, and about the land and culture of the times.<br></div>
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".