The need for FASTER CARE in the diagnosis of illness in people with intellectual disabilities
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
The Confidential Inquiry into premature deaths of people with learning disabilities reported the median age at death for the 247 people with intellectual disabilities (ID) in the study to be on average 16 years sooner than in the general population of England and Wales. Almost one-quarter (22%) were under the age of 50 years when they died, compared with just 9% in the general population. A comparator group of people without ID, who died at a similar age and from similar causes, experienced significantly fewer problems in all aspects of care provision, coordination, and documentation.<br/>One of the contributory factors highlighted in the report was the delay in the care pathways of people with ID who had died, in particular delayed diagnosis. Of the 171 people with ID who had been identified as being unwell, by themselves or their carers, and who had responded promptly in reporting this to a doctor, almost one-quarter (23%) had one or more problems with their illness being diagnosed.<br/>This article describes what positive practice would look like in diagnosing illness in people with ID and how can we overcome some of the problems of diagnosing illness in people with ID.
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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