Scootering on: An investigation of children’s use of scooters for transport and recreation
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
Non-motorised scooters have increased significantly in popularity over the last few years in New Zealand, following similar trends in the US, Australia, Canada and Europe. Non-motorised scooters are an important source of recreation, transport and exercise and children of all ages enjoy riding them to and from school and in skate parks. \nAlong with the increase in popularity and use of the scooters, New Zealand is also experiencing a considerable increase in the numbers of injuries to children, with a notable spike in ACC claims in the 2011-12 year. Whilst most of the injuries are moderate – dislocations, fractures, lacerations and soft-tissue injuries – an increase in the number of severe injuries, and at times, even fatalities is also evident. Boys tend to be injured more frequently than girls and the median age for injury is nine years. Most injuries occur at home, with public roads the next most likely location. \nInternational literature shows similar trends world-wide. Numbers of scooter injuries are escalating and an intervention to minimise harm and reduce risk is considered imperative in all regions. The evidence shows that children are not wearing protective equipment (such as helmets) when travelling on a non-motorised scooter and there is no legal requirement for them to do so. Elbow and knee pads – and even footwear – were conspicuously absent amongst children observed in fieldwork undertaken for this project. \nChildren routinely use basic scooters for activities unsuited to their design and on terrain that poses further risks. It was also evident that children scootering to school were not subject to the same regulations as those cycling to school and there appears to be a general lack of awareness of the risks associated with scootering. We therefore propose the following recommendations as means by which we might minimise the risks and reduce harm to children: \no Amend the current cycle helmet legislation to include the riders of all wheeled recreational devices, irrespective of the age of the rider; \no Introduce school policies requiring that helmets and footwear are worn when scootering to and from school; \no Implement a minimum age for scootering to and from school; \no Extend the coverage of existing school training programmes on road safety in general and safe scootering in particular; \no Require compulsory distribution of point-of-sale information packs on the risks of scooters and the protective equipment options available; \no Ensure continued funding of current community resources and training initiatives \no Further research on scooter accidents and associated risk factors
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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