Arts and culture management
Bibliographic record
Abstract
Purpose The purpose of this paper is to provide an overall picture of the five articles included in this issue highlighting their contributions and revealing the importance of academic research for arts and culture management as a nascent topic in the Latin American context. Design/methodology/approach This paper elaborates a critical description of the main aspects of the papers included. The contributions are grouped together around central topics pertaining to arts and culture management such as: audience creation and environment; museums, competition and efficiency; and management skills and entrepreneurship. Findings The contributions of the articles are as diverse as the topics included in them. Some highlight the importance of the context in audience creation processes, others reveal the determinants of the institutional variables in the efficiency of artistic organisations, and a final one, reveals the deconstruction of an artistic genre and its contribution to the comprehension of organisations’ innovation processes. However, the most important contribution, within the Latin American context, consists basically in a process of dissemination and knowledge of the research developed in different international contexts and which may apply to the analysis of arts and culture management in the region. Originality/value As noted in the body of this paper, the topic of cultural management is novel and has acquired notable importance in developed economies in which the arts and culture sector has strategic value. Latin America reveals an institutional revolution which situates the cultural sector in a predominant position where its contribution to the creation of social and economic value turns it into a key field in Latin American societies. Arts and culture constitute a factor of value creation which requires carefully planned and pertinent management processes. This publication, through its five contributions, all European, is a valuable tool of dissemination for knowledge and management in Latin America, where academic research into the sector is, as yet, incipient.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".