Making the World a Better Place: How Crowdfunding Increases Consumer Demand for Social-Good Products
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
Crowdfunding has emerged as an alternative means of financing new ventures wherein a large number of individuals collectively back a project. This research specifically examines reward-based crowdfunding, in which those who take part in the crowdfunding process receive the new product for which funding is sought in return for their financial support. This work illustrates that consumers make fundamentally different decisions when considering whether to contribute their money to crowdfund versus purchase a product. Six studies demonstrate that compared with a traditional purchase, crowdfunding more strongly activates an interdependent mindset and, as a result, increases consumer demand for social-good products (i.e., products with positive social and/or environmental impact). The research further highlights that an active involvement in the crowdfunding process is necessary to increase demand for social-good products: when a previously crowdfunded product is already to market, the effect is eliminated. Finally, it is demonstrated that crowdfunding participants exhibit an increased demand for social-good products only when collective efficacy (i.e., one’s belief in the collective’s ability to bring about change) is high.
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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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