The social impact of early psychological maturity in adolescents with cancer
Bibliographic record
Abstract
OBJECTIVE: There is a growing need to assess the long-term quality of life (QOL) of pediatric oncology patients since many children now survive their disease. This paper highlights the subjective perspectives of pediatric cancer patients and specifically explores how experiencing cancer at a young age impacts adolescents in the areas of social functioning, peer relationships, and QOL. The findings emerged from a qualitative research study that explored how pediatric oncology patients ascribe meaning to their illness. METHODS: Study participants were recruited from four Canadian academic pediatric hospitals. In this study, we used an interpretative description approach. Semistructured interviews were completed, transcribed verbatim, and coded through the method of constant comparison. RESULTS: A total of 37 children and adolescents (n = 19 female; 51%) participated. The majority of participants were diagnosed with leukemia (n = 16; 43%) or lymphoma (n = 9; 24%). Sixty-two percent of participants were adolescents between the ages of 13 and 18 years (n = 23). Data illustrated a unique adolescent experience, which has been reported as a subset of the original population. Adolescent participants noted an accelerated experience of maturation, which invited reflections of gratitude as well as feelings of isolation and disconnect from peers. Participants were saddened to have "missed out" on normative parts of childhood. CONCLUSION: Findings highlighted experiences of accelerated maturity that prompted adverse social outcomes for adolescent participants, which impacted their QOL. Future research is needed to explore the intersection of accelerated maturity attributed to illness, social functioning, and QOL. Peer support through technology engagement is suggested for this population.
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.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".