Curating Hope: The Aspirational Self and Social Engagement in Early-Onset Cancer Communities on Social Media
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
Early-onset cancer patients, survivors and caregivers have unique needs in comparison to their older counterparts. As a result, they often turn to social media to find others with similar experiences. This study employs hermeneutic phenomenology to understand the unique needs of early-onset cancer patients and caregivers as they engage with communities related to their illness across different social media platforms. Drawing from such theories as uses and gratifications, context collapse, and aspirational self-presentation, this study shows how people engaging with social media communities related to early-onset cancer employ “affordances-in-practice,” choosing what to post based both on the technical affordances of each platform, and on the audience they imagine to be on each platform. We find that in addition to seeking information and social support, participants in early-onset cancer communities use social media to seek hope. This finding suggests a nuanced reconsideration of the existing dichotomy between online authenticity and the aspirational self on social media platforms like Instagram.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it