Bibliographic record
Abstract
The enthusiastic (even excessive) consumerism of contemporary western society has its roots, according to some, in the expansion of the consumption of goods in Renaissance Europe. Early modern men and women were ardent, even “passionate” consumers. Such self-indulgence was regarded as decadent and socially perilous; religious and other moral authorities of the era sought to eradicate or at least control these sins of excess. My study examines criticism of “crimes of consumption” in both serious and satirical French literature of the early modern era, including such pamphlets as Frenaizie fantastique Françoise Sur la Nouvelle Mode des Nouveaux Courtisans bottez de ce temps and Pasquil de la Cour pour apprendre à discourir et s’habiller à la mode. Scrutiny of these texts suggest that women’s “crimes of consumption” tended to reveal who they “really were”—bad women, sinful women, dangerous women who led men into sin. Men’s crimes of passionate consumption sometimes also revealed their sinful selves—some were seen as gluttons, for example. But men’s consumption was also, at times, condemned as an attempt to appear to be what they were not; their display of acquired objects revealed an effort to claim membership in a social class to which they did not belong. Le consumérisme enthousiaste (et même démesuré) de la société occidentale contemporaine a ses racines, d’après certains, dans l’expansion de la consommation de biens en Europe pendant la Renaissance. Dès les débuts de la modernité, hommes et femmes furent des consommateurs ardents, voire « passionnés ». S’adonner au plaisir d’acquérir était sévèrement condamné par les théologiens et les moralistes. Cet article examine la critique de ces passions excessives dans la littérature morale et satirique de l’époque, incluant les pamphlets tels que Frenaizie fantastique Françoise Sur la Nouvelle Mode des Nouveaux Courtisans bottez de ce temps et Pasquil de la Cour pour apprendre à discourir et s’habiller à la mode. Une analyse approfondie de ces textes montre combien la question du gender influe sur l’interprétation de ces passions : la femme coupable de tels excès y est vue mauvaise, pécheresse, dangereuse pour l’homme ; l’homme, quant à lui, est condamné pour dissimuler et vouloir paraître autre que ce qu’il est, entendre d’une autre classe que celle à laquelle il appartient.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".