Scaffolding one Thai youth’s drawing toward resilience
Bibliographic record
Abstract
Drawings have been used extensively to explore the psychosocial development of children and youth. Focusing on the drawings of one thriving migrant Thai adolescent, this case study employs multiple sources of data from this youth to ground an integrated interpretation of his resilient processes in ecological context. Our participant, ‘Pond’, had recently relocated to northern Thailand with his father. Employing reflective interviews with the teenager about his experiences, his sketchbooks and a filmed ‘ day in his life,’ we identified ‘promotive’ factors contributing to his well-being in the context of strong familial support. During his filmed day, we observed him drawing for one uninterrupted hour, the products of which he proudly shared with his artist father as well as the researchers. His sketchbook graphic endeavors included traditional Thai representations, pop-cultural sketches and cartooning, bridging the worlds he navigates as he adapts to his new domicile. Pond’s drawing activities and reflections on them confirm his sense of responsibility, self-confidence, positive affect in familial connection and his striving for social inclusion. His use of pictorial language reveals his cultural values and their potential for enhanced thriving. Pond affirmed that his artistic transactions are sources of strength to him in his migratory transition.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".