Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to develop both a systematic framework and priorities for comparative and cross‐cultural festival management studies, based on literature review and results of a four‐country study. Design/methodology/approach This research is based on four samples of festivals in Sweden, Norway, UK, and Australia that are systematically compared. The survey is designed to profile the festivals in terms of vision/mandate, ownership, age, size, assets, venues used, decision‐making structure, and programs. Costs and revenues are examined in some detail, including trends in each category. Festivals' use of volunteers and sponsors are specifically addressed. Levels of dependence on a number of types of stakeholders and other strategic management issues are also explored. Respondents are also asked to respond to statements regarding challenges and threats to their festival and organization. Findings The empirical research identifies important similarities and differences that exist within the UK, Sweden, Norway, and Australia, by three ownership types, in how festivals are organized, their operations and strategies, stakeholder influences and dependencies, threats, and strategies. Research limitations/implications In the recommended framework are five components: antecedents; planning and management; planned event experiences and meanings; outcomes and the impacted and dynamic patterns; and processes. Specific points of comparison are enumerated within each component, foundation theories and concepts are identified, and some research priorities suggested for each. Originality/value The framework developed in this paper can help advance both the process and applications of comparative festival studies.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it