Hume's "Early Memoranda" and the Making of His Political Economy
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Bibliographic record
Abstract
This essay argues that while the so-called "Hume's Early Memoranda" has long been regarded as Hume's juvenile work composed before A Treatise of Human Nature , there is significant internal and external evidence to the contrary. M. A. Stewart's recent thesis made a new attempt to move the period of composition to the early 1740s. I seek in the following essay to date the composition even later, in the latter half of the 1740s. Re-examined in this new light, the memoranda credibly emerges as a work of preparation for Hume's political economy to be published as Political Discourses in 1752. Historical and biographical details thus reconstructed around the process of Hume's composition of the memoranda reveal the hitherto-unrecognized complexity with which Hume's economic thought was gradually formed in close and profound connections with his moral, political and historical thinking.
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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 | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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