Populating an Indicator of Serious Paediatric Fall Injuries across Age and Public Health Units in Ontario
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
Fall injuries among children and youth represent a significant burden to public health. Currently, there is no indicator assessing serious fall injuries in children. The purpose of this study was to populate an indicator of serious fall injuries within the paediatric population (0-19 years) using existing ICD-10 coded hospitalization data. The Discharge Abstract Database was used to examine all fall-related hospitalizations in Ontario from 2010-2019. Rates per 100,000 population and rate ratios were calculated for all fall-related and serious fall injuries; serious falls accounted for 3,652 hospitalizations. The highest rates for all fall-related and serious fall injuries were reported in rural health units. The mechanisms of serious fall injuries were highest among males 10-14 and 15-19 from skis, blades, skates, and boards, whereas rates were highest among females 0-4 from stairs and 5-9 from playgrounds. This indicator can be used to prompt action to reduce serious fall injuries in children.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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