Financial Sustainability of Cultural Heritage: A Review of Crowdfunding in Europe
Bibliographic record
Abstract
Most cultural heritage projects strive in ensuring financial sustainability, mainly relying on public subsidies. At the same time, they lack fund management policies which directly affects their financial sustainability. European Union heritage policies focus on sustainability but after investments have been made, there are rare cases which can boast about it. A number of heritage funding mechanisms exist which are explained in this review paper, while the focus is on crowdfunding as an alternative mechanism. The study used literature review method based on PRISMA guidelines to analyze new trends and suitability of crowdfunding for cultural heritage projects, and to detect possible factors influencing its success. The purpose was to add to the existing knowledge while offering a systematic review which can be applied in practice. Findings indicate the trend of participatory approach to heritage, which is in line with the participatory nature of crowdfunding campaigns. Further, crowdfunding suitability for cultural heritage projects was confirmed while its success factors majorly depend on the policy framework, heritage project nature and management of the campaign itself.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".