“No One Has a Fundraiser for a Family in a Mental Health Crisis”: Constructing Mental Health as Bodies of Moral Worth
Bibliographic record
Abstract
As United States citizens experience the rising cost of health care and the economic impact of COVID-19, they have turned toward other means of securing financial assistance. One popular strategy is the use of crowdfunding through GoFundMe (GFM). Recently, scholars have examined the mechanisms behind a “successful “ campaign. However, few scholars explore how these narratives are constructed. Using narrative inquiry, we examined the narrative structure of 83 GFM requests with the aim of understanding how people construct those seeking financial assistance for mental health as people of moral worth. Our results reveal that narratives are typically structured through the hero/heroine's story arch, often focusing on how the person has much to offer to society, is ready for change through whatever means necessary, and is only seeking requests after exhausting all other options. Such constructions may inadvertently further perpetuate stigma toward mental health needs and those who experience mental health crises.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.039 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".