Effectiveness of the online mindset intervention ‘The Growth Factory’ for adolescents with intellectual disabilities
Bibliographic record
Abstract
BACKGROUND: This study examines participant satisfaction and effectiveness of the online mindset intervention 'The Growth Factory' (TGF) for youth with intellectual disabilities using a randomised controlled trial design. METHOD: Youth with mild to borderline intellectual disabilities (N = 119; 12-23 years) were randomly assigned to TGF (n = 60) or control group (n = 59). Primary outcome measures were mindsets and perseverance. Secondary outcomes were empowerment, mental health problems, self-esteem, treatment motivation, therapeutic alliance and challenge seeking. Measurements were conducted at pre-test, post-test and at 3 and 6 months follow-up. RESULTS: TGF had positive effects on perseverance, mental health problems, self-esteem and therapeutic alliance at post-test. TGF had follow-up effects on mental health problems (3 months), mindset of intelligence (3 and 6 months) and mindset of emotion and behaviour (6 months). CONCLUSIONS: TGF offers a promising add-on intervention complementing usual care programmes accelerating improvements in mindsets and mental health in youth with intellectual disabilities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".