Readiness to Change, Trait Emotional Intelligence, and Client Fit in Wilderness Therapy
Bibliographic record
Abstract
Youth (aged 12–30) are the most likely age group to experience problematic substance abuse, yet this population experiences relatively low rates of success in treatment and limited research and understanding exists regarding “client fit.” This study explored how youth participation in one Canadian wilderness therapy program affects trait emotional intelligence (TEI) and readiness to change (RC) and how pretreatment client-level variables—presenting problems, sex, age, funding, digital interference in everyday life, or substance abuse severity—moderate these relationships. A case study design was engaged, and the intervention was found to produce statistically significant increases in RC but not in TEI. Relative to pretreatment client-level variables, participants who experienced interference in their everyday life due to video games or online activity before treatment had larger TEI change scores, while participants who experienced interference in their everyday life due to virtual relationships had larger changes in RC. No client-level pretreatment variables in this study significantly predicted increases in RC following wilderness therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".