On the Bicentennial of the <i>other</i> “Inquiry”: Lauderdale's
Bibliographic record
Abstract
James Maitland, Lord Lauderdale published his An Inquiry into the Nature and Origin of Public Wealth and into the Means and Causes of its Increase (1804) only twentyeight years after the publication of the “Inquiry”: An Inquiry into the Nature and Causes of the Wealth of Nations , by Adam Smith. A comparison of the titles strongly suggests some relationship, and indeed even glancing through the first few pages of Lauderdale's book confirms this conjecture. The book takes off as a critique of Smith's, and by-and-large remains so till the end. Many of the elements of his criticism can be seen in the difference in the wording of the titles of the two books. Except for “Nations” all the significant words in Smith's title are included in Lauderdale's, but he adds three more: “Origin,” “Means” and “Public” (which is not a substitute for the omitted “Nation”). As we shall see, in his view, ignoring these led to major deficiencies in Smith's work, and Lauderdale set out to point them out, and if possible, to correct them.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".