Visualizing the Invisible—The Needs and Wishes of Childhood Cancer Survivors for Digitally Mediated Emotional Peer Support
Bibliographic record
Abstract
This study aims to identify the needs and wishes of childhood cancer long-term survivors for digitally mediated emotional peer support. Survivors of childhood cancer (six men, seven women) aged 19-33, participated in semi-structured interviews (November-December 2020). Age of diagnosis ranged from 1 to 13 years. The interviews lasted between 45 and 85 min. A thematic analysis was used to identify three themes for needs: processing long-term complications of cancer treatment, processing psychosocial health and meeting others who share similar experiences; and another three themes reflecting wishes: digital tools for connecting with people who had had similar experiences, different modes of communication and a safe place with varying degrees of anonymity. The findings emphasized the needs and wishes of childhood cancer survivors to meet others who had had similar experiences using a digital tool that offered a secure place, with options for a variety of communication methods and levels of anonymity. Peer support can serve as an important complement to professional psychosocial support.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".