Appealing to the crowd: ethical justifications in Canadian medical crowdfunding campaigns
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
Medical crowdfunding is growing in terms of the number of active campaigns, amount of funding raised and public visibility. Little is known about how campaigners appeal to potential donors outside of anecdotal evidence collected in news reports on specific medical crowdfunding campaigns. This paper offers a first step towards addressing this knowledge gap by examining medical crowdfunding campaigns for Canadian recipients. Using 80 medical crowdfunding campaigns for Canadian recipients, we analyse how Canadians justify to others that they ought to contribute to funding their health needs. We find the justifications campaigners tend to fall into three themes: personal connections, depth of need and giving back. We further discuss how these appeals can understood in terms of ethical justifications for giving and how these justifications should be assessed in light of the academic literature on ethical concerns raised by medical crowdfunding.
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 | 0.039 | 0.179 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.006 | 0.028 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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