OTHER-INITIATED INTERACTIONS THAT CONTRIBUTE TO RESILIENT OUTCOMES AMONG YOUNG ADULTS RAISED BY CAREGIVERS WHO MISUSE ALCOHOL
Bibliographic record
Abstract
This study offers an understanding of interactional resilience processes between young adults raised by caregivers who misused alcohol and people in their social-ecology who initiated supportive interactions that enabled them to achieve better-than-expected outcomes. Multiple in-depth face-to-face interviews and a draw-and-write methodology were used with 15 National University of Lesotho undergraduate students raised by caregivers who misused alcohol. An interactional resilience approach, building on person-in-environment and social-ecology perspectives on resilience, informed this study. Using constructivist grounded theory methods of data analysis, three themes were formulated: (a) other-initiated material support that elicits a response of resolve or obligation towards the other; (b) other-initiated sustained emotional support that elicits a response of hope for the future; and (c) other-initiated challenging support that elicits a change in behaviour. Given these findings, the study recommends that child and youth workers and social workers cultivate enabling and support-initiating social environments in key contexts such as schools, churches, and clubs, and develop children and young people’s skills to respond to and receive such 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.005 |
| 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".