Bibliographic record
Abstract
The significance of Hume's positive attitude towards luxury might have been overemphasized by his commentators. In fact, arguments in favor of "moderate" luxury had already been entertained before the emergence of Hume's position. Therefore to argue that Hume's argument entailed the defense of moderate luxury is not to identify in it anything particularly unique. Thus, the first aim of this paper is to clarify the nature of Hume's contribution to the ongoing luxury debates. This does not consist merely of an assertion of the compatibility of moral virtue with the enjoyment of luxury, but lies rather in Hume's emphasis on two aspects of the beneficial interaction between morality and luxury. First, the historical process of the introduction of luxury is regarded by Hume as fostering new morals peculiar to the commercial age; and secondly, the enjoyment of luxury is seen as a condition favorable to the maintenance of morals. The second aim of this paper is to shed some new light on an aspect of Hume's thought that, so far, has been relatively neglected, namely, his distinction between "innocent" and "vicious" forms of luxury, as well as his acknowledgement of the possibility of the emergence of the latter, as well as the former, in the modern commercial world. However, this does not necessarily lead us to a more pessimistic interpretation of Hume's view of luxury than those accepted thus far; only to the awareness of how difficult and delicate, in Hume's view, is the maintenance of the balance between the interlinked concepts of industry, knowledge, and humanity.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".