Exploring the relationship between kindness and resilience among gender diverse versus cisgender youth: the BRAVE study
Bibliographic record
Abstract
Objective: This study compared giving kindness, receiving kindness, self-kindness, and resilience between gender diverse (GD) and cisgender youth, and investigated the correlation between kindness (giving, receiving, self) and resilience among GD youth specifically. Methods: A total of 488 youth (93% college/university students; n = 69 GD; n = 419 cisgender) completed a survey that included demographics and scales to measure giving kindness, receiving kindness, self-kindness, and resilience. Results: Results from chi-square tests of independence indicated an association between gender and self-kindness, and gender and resilience. Results from Pearson’s correlation showed a positive correlation between resilience and self-kindness in GD youth. Conclusions: Given that GD youth were more likely to have moderate levels of self-kindness and low levels of resilience compared to cisgender youth and that self-kindness and resilience were positively correlated, researchers may wish to focus on providing GD youth with self-kindness resources which could, in turn, lead to increases in resilience.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".