Bibliographic record
Abstract
Abstract An association is “a relatively formally structured nonprofit group that depends mainly on volunteer members for participation and activity and that primarily seeks member benefits, even if it may also seek some public benefits” (Smith, Stebbins, & Dover, 2006, p. 23). The arts that give birth to these organizations can be classified as either fine art or entertainment art. Every art association is embedded each in its own art world and its own social world. Members of these association are mostly amateurs or hobbyists in their art. Publications on arts-related amateur, hobbyist, professional, and mixed-member associations are reviewed. Their prime mission is to foster, present, and sometimes chronicle the art that its members prize. Many of these works report on the structure of the associations as well as on the recruitment, artistic development, deployment of artists, dissemination of their art, and retention of their members. Also reviewed is a selection of publications bearing on what could be called “arts consumption clubs,” or groups such as book clubs, dance clubs, and jazz clubs established to generate interest in a given art. Some of the publications reviewed center on associational management, use of volunteers, and financial base of the group.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".