A theory building critical realist evaluation of an integrated cognitive-behavioural fluency enhancing stuttering treatment for school-age children. Part 1: Development of a preliminary program theory from expert speech-language pathologist data.
Bibliographic record
Abstract
PURPOSE: This study initiated a program of research that aims to develop a program theory underlying integrated cognitive-behavioural fluency enhancing stuttering treatments for school-age children. This research asks, what in the treatment program works (or does not work), for whom, in what contexts, and why. METHODS: Using a critical realist evaluation approach, seven speech-language pathologists (SLPs) with extensive experience in treating children who stutter were asked about barriers and facilitators of optimal treatment outcomes within the context of the Comprehensive Stuttering Program - School-aged Children (CSP-SC). From these data discrete resource mechanisms, contexts, within child reasoning mechanisms, and outcomes were derived and a preliminary program theory was proposed. RESULTS: Facilitating and impeding child physiology, treatment and SLP resource mechanisms, family and school contexts, and within-child mechanisms were identified. Facilitating mechanisms included motivation, personality/psychological characteristics, understanding and trust of the treatment process, experience of speaking with less effort, and self-efficacy. Impeding mechanisms included reduced motivation, impeding personality/psychological characteristics, lack of buy-in, and, for some children, a prohibitive cost of effort in using learned strategies. CONCLUSION: A preliminary program theory was hypothesized which will be further developed in future analysis of data obtained from children and parents who participated in the CSP-SC at the same centre from which the SLPs came. Subsequent research with new cohorts of SLPs, children, and parents from other treatment programs and centres will be needed to establish the generalizability of the program theory generated in this program of research.
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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 | 0.035 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".