Crowdfunding Acts as a Funding Substitute and a Legitimating Signal for Nonprofit Performing Arts Organizations
Bibliographic record
Abstract
This research examines the relationship between crowdfunding campaigns by nonprofit performing arts organizations and their overall fundraising portfolio. Using a dataset compiled from the CrowdBerkeley Initiative and the Cultural Data Project, we find an important link between campaign success and organization age. For young organizations, crowdfunding success attracts funding in the subsequent year, while a failed campaign significantly hampers the organization’s ability to raise funds, suggesting that crowdfunding acts as a legitimating signal. In contrast, older organizations appear to be insulated from the negative effects of a failed campaign. In addition, higher amounts raised in the campaign are associated with a substitution or “crowding out” effect for other types of funding for young organizations, but this effect reverses for older organizations. This suggests that crowdfunding should not only be considered a tool for younger organizations, but also holds promise for established organizations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| 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 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".