Rival Ecologies of Global Commerce: Adam Smith and the Natural Historians
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
THE VERY FIRST PLANT that the Finnish naturalist Pehr Kalm noticed as he set foot in America in 1748 was a tuft of native grass, a species of the genus Andropogon. The sight induced a flash of taxonomic vertigo. How could a single natural historian cope with a whole continent of new species? "Whenever I looked to the ground I found everywhere such plants as I had never seen before . . . I was seized with terror at the thought of ranging so many new and unknown parts of natural history." 1 While Kalm's moment of confusion perhaps was exaggerated for rhetorical effect, the episode captures the new centrality of natural knowledge in the world of eighteenthcentury commerce. Between 1748 and 1751, Kalm surveyed the colonial environment from Philadelphia through New Jersey and then north up the Hudson Valley to Quebec. The naturalist had been sent on a mission of classification and bio-prospecting funded by the Swedish state and masterminded by his teacher Carolus Linnaeus. The taxonomic aim was to extend Linnaeus's new system of binomial classification to North America by collecting plants and gathering local knowledge. His other priority was to harness nature for the purpose of national improvement.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it