Bibliographic record
Abstract
Aotearoa New Zealand went 'hard' and 'early' in its response to COVID-19 and has been highly successful in limiting the spread and impact of the virus. The response has ramped up over time, and has included various levels of: border control; advice on hygiene, physical distancing and mask wearing; advice to remain at home if unwell; and testing and tracing. A four-level Alert Level framework has guided key actions at different levels of risk. Strong leadership from the Prime Minister, Minister of Finance, and Director-General of Health and high levels of community co-operation have supported the response. The country is most vulnerable at its borders, where arrangements have been of concern; advice on testing and the wearing of masks has changed over time; while the use and distribution of personal protective equipment has also been of concern. The country overall was not well prepared for a pandemic, but policy-making has been nimble. Key challenges for 2021 include swiftly rolling out a vaccine, catching up on delayed health care, and deciding how and when the border can reopen. The economic, and associated social, challenges will last many years.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".