Addressing climate change [section 3.1 of The State of New Zealand Report for UN Habitat III]
Bibliographic record
Abstract
Habitat III is the third bi-decennial United Nations conference on Housing and Sustainable Urban Development to take place in Quito Ecuador, 17- 20 October 2016. The UN General Assembly, adopted a resolution that ‘the objectives of the Conference are to secure renewed political commitment for sustainable urban development, assess accomplishments to date, address poverty and identify and address new and emerging challenges’ (Resolution 67/216).1At the time of the first Habitat Conference in Vancouver in 1976, the population of New Zealand was 3.1 million, of whom over 2.5 million were living in urban areas.2 Today the population is 4.4 million and due to increase to 5.5million by 2038, if current projections are correct. New Zealand is not alone. As the world population has been increasing, so too has the percentage of the population living in urban areas. The phenomenon is global. The challenge is to ensure that the urbanisation taking place is sustainable.The State of New Zealand report was produced in the run up to Habitat III in October 2016. The aim of this report is to stimulate debate in Aotearoa New Zealand, amongst researchers and academics as well as the wider community, on our urban issues and the future direction we need to take. The report also aims to initiate discussions about the role of Universities in achieving the new urban agenda and the way in which professionals need to be educated and trained.The report has been finalised to coincide with the third preparatory committee meeting (Prepcom3) in Surabaya, Indonesia between 25-27th July 2016 at which the revised zero draft of the New Urban Agenda was discussed
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.012 |
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".