<i>The Cult of Happiness: Nianhua, Art and History in Rural North China</i>. By J<scp>ames</scp> A. F<scp>lath</scp>. [Vancouver: University of British Columbia Press, 2004. 195 pp. $60.00. ISBN 0-7748-1034-3.]
Bibliographic record
Abstract
James Flath's The Cult of Happiness is a stimulating and accessible book that contributes to more than one area of current concern in Chinese studies. The author effectively situates his work in relation to developing debates about print culture, alternative conceptions or experiences of modernity, and the relationship of popular culture to markets and to state power. It should also appeal to readers interested more generally in modern Chinese art, history and visual culture. In this general vein, the book would be valuable simply as one of only a very few English-language works that deal with woodcut-printed nianhua or New Year's Pictures. These pictures, which depict a range of subjects from gods to auspiciously fat babies to scenes from legend and history, were a ubiquitous part of Chinese household ritual and decoration well into the 20th century, and are still evoked in a variety of contexts in contemporary Chinese visual culture. For various reasons, they have not received as much scholarly attention as they should, especially in comparison to other popular print traditions, such as their distant Japanese cousins, ukiyo-e prints. As a genre, nianhua are believed to have quite a long history (Chinese sources, for example, often identify a print found in a 12th-century tomb as one of the earliest extent nianhua), and they were certainly made and circulated throughout China. Flath, however, wisely limits his study both temporally and geographically by focusing on the last decades of the 19th century and the first half of the 20th, when the vast majority of nianhua now extant were made, and on north China, which encompasses several of the most influential and best-documented centres of nianhua production.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".