Giving Colin a voice: the challenge of narrative therapy with a client who has an intellectual disability and communication difficulties
Bibliographic record
Abstract
In this paper a narrative approach, developed by Michael White of the Dulwich Centre, Adelaide, was applied by social workers to work with a 12-year-old boy Colin, who has an intellectual disability and communication difficulties, to challenge the dominant story around his troublesome behaviours. Colin's family was at high risk of family breakdown and placing Colin in permanent out of home care at the commencement of the intervention. Colin was regarded by teachers and carers as troublesome. Colin wanted to communicate but lacked skills in clear communication. The social workers explored alternative views of his problems to assist in the development of a ‘new story’, utilising a narrative approach that highlighted Colin's strengths and abilities, at home, at school and in other settings. Augmentative communication was an important method of assisting the emergence of the ‘new story’ for Colin and his family.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".