Posttraumatic growth and its correlates among survivors of adolescent and young adult cancer: A brief report
Bibliographic record
Abstract
Objectives: The objectives of this study were to describe posttraumatic growth (PTG) levels among survivors of adolescent and young adult cancer (AYAs), and estimate relationships between PTG and medical (cancer type, age at diagnosis, time since treatment), behavioral (physical activity), and psychological (appearance evaluations, body satisfaction) variables.Methods: Eighty-eight AYAs (Mage=33 ± 4.4 years) completed a survey online that included the PTG-Inventory (PTG-I). Data were analyzed using descriptive statistics and bivariate correlations.Findings: Total and subdimension PTG-I scores indicated moderate-to-high PTG levels, with the highest and lowest scores reported for appreciation of life and spiritual change, respectively. Appearance evaluations was moderately and positively correlated with the spiritual change subdimension (r = .31, p < .001). Relationships between PTG and other variables were of weak magnitude and not statistically significant (rs = 0–.21, ps > .05).Conclusions: More research exploring variables related to PTG among AYAs is needed to better understand antecedents and outcomes of PTG.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".