Responsibilities to the story, campaign(er), and profession: Exploring important considerations shaping Canadian print journalists' coverage of medical crowdfunding campaigns
Bibliographic record
Abstract
Abstract Medical crowdfunding is growing in popularity in a number of countries, including Canada. In the crowdfunding context people write and share their own stories. This activity also intersects with conventional news media practices when journalists prepare stories about these campaigns. This intersection raises the question of what are print journalists' responsibilities towards covering human interest stories based on medical crowdfunding campaigns? In this qualitative analysis we explore this question through reporting on interviews conducted with 14 Canadian news media professionals. After transcript review, emergent themes were compared and contrasted across investigators to reach confirmation on the scope and scale of emergent themes. These themes were then contrasted against the existing literature and our research goals to aid in interpreting their significance. Thematic analysis of the interviews identified three key domains of responsibility for journalists, which are: to the story, to the campaign and campaigner, and to their profession.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 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".