Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Book Summary: With detailed discussion and invaluable video footage of 23 treatment interventions for speech sound disorders (SSDs) in children, this textbook and DVD set should be part of every speech-language pathologist's professional preparation. Focusing on children with functional or motor-based speech disorders from early childhood through the early elementary period, this textbook gives preservice SLPs critical analyses of a complete spectrum of evidence-based phonological and articulatory interventions. This textbook fully prepares SLPs for practice with a vivid inside look at intervention techniques in action through high-quality DVD clips large and varied collection of intervention approaches with widespread use across ages, severity levels, and populations proven interventions in three categories: direct speech production, broader contexts such as perceptual intervention, and speech movements clear explanations of the evidence behind the approaches so SLPs can evaluate them accurately contributions by well-known experts in SSDs from across the US, Canada, Australia, and the UK An essential core text for pre-service SLPs—and an important professional resource for practicing SLPs, early interventionists, and special educators—this book will help readers make the best intervention decisions for children with speech sound disorders. Evidence-based intervention approaches—demonstrated in DVD clips—such as: minimal pairs perceptual intervention core vocabulary stimulability treatment intervention for developmental dysarthria the psycholinguistic approach Interventions for Speech Sound Disorders in Children is a part of the Communication and Language Intervention Series
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it