Face fashion market hots up with arrival of new optical chain from Australia
Bibliographic record
Abstract
New Zealand optometrists perform more than a million eye examinations a year and by all accounts our eyesight is worsening. Dr Philip Turnbull, a research fellow at the Auckland University Optometry School, said myopia, or short-sightedness, was increasing world wide. Based on census and driver licensing data, about a quarter of New Zealand adults need to wear glasses or contact lenses for driving. Quite apart from the normal deterioration that goes with aging, one theory is that urban lifestyles are to blame for short-sightedness because our eyes get less opportunity to focus long distance. Turnbull is researching the impact of increased screen use and said it may be a factor in rising myopia rates in children. Although there are no New Zealand statistics, he said the situation here was likely to reflect Australian trends where a recent study showed a doubling of myopia in children aged seven and in 10 to 13-year-olds. "It was 4.4 per cent six years ago, and now it's gone up to 8.6 per cent. It's unlikely to be hugely different here. "It's difficult to tease out the factors. Reading time has also been implicated, it doesn't matter whether is on a tablet or on paper, the more time a child spends reading, the more likely they are to become myopic." Children's attitude to glasses has also changed and Turnbull said it wasn't uncommon for children to fake poor eyesight to get trendy glasses. "May be someone in their class has a particularly cool pair of frames and then you get a few coming in. That whole geek thing has absolutely gone."
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.599 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".