Inequalities in the assessment of childhood short stature
Bibliographic record
Abstract
Measurement of height is a key part of the assessment of a child's health.Short stature is pragmatically defined as height less than the second centile, plotted on sex-specific growth charts.Although the commonest cause of short stature is familial, it may be the earliest and/or only presenting feature of serious childhood illness and therefore requires investigation (see Clinical Practice article in this BJGP Issue). 1 In some cases, short stature is a marker of socioeconomic vulnerability; in England it strongly tracks to areas with higher levels of deprivation.2 Early detection of short stature is key to optimising health outcomes.Delayed diagnosis can result in reduced adult height and failure to address the underlying pathology can have potentially serious consequences.Short stature in young children may also be an important predictor of future cognition.3 Short stature is often associated with significant child and caregiver anxiety.The child may experience low self-esteem, anxiety, and bullying at school, exacerbating the situation:
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.
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 | 0.010 | 0.044 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.014 | 0.024 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".