The Effect of an Attachment-Based Behaviour Therapy for Children with Visual and Severe Intellectual Disabilities. [Article]
Bibliographic record
Abstract
Background: A combination of an attachment-based therapy and behaviour modification was investigated for children with persistent challenging behaviour., Method: Six clients with visual and severe intellectual disabilities, severe challenging behaviour and with a background of pathogenic care were treated. Challenging behaviour was recorded continuously in the residential home and during therapy sessions. Alternating treatments were given by two therapists. In phase 1, the experimental therapist attempted to build an attachment relationship in sessions alternating with sessions in which a control therapist provided positive attention only. In phase 2, both therapists applied the same behaviour modification protocol., Results: Across clients, challenging behaviour in the residential home decreased during the attachment therapy phase. The behaviour modification sessions conducted by the experimental therapist resulted in significantly more adaptive target behaviour than the sessions with the control therapist., Conclusion: For these clients with a background of attachment problems, attachment-based behaviour modification treatment may have important advantages over standard behaviour modification., Copyright (C) 2008 Blackwell Publishing Ltd.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.007 | 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".