Bibliographic record
Abstract
New Zealand is a country with deep-seated roots in the outdoors, from its rolling farmland to its lush native bush. As it stands today however, New Zealand is at a crossroad with cities like Christchurch finding its surrounding farmland and forests being mass subdivided and its prime centre city lots in low residential demand. Meet the New Zealand ‘quarter-acre dream’, an ideal of which most kiwis are all too familiar, with it having been around about as long as we have. This ideal, born from settlers' wishes to escape the cramped cities, and modernised by the post WWII car-dependent, suburban experiment, has its fair share of shortcomings. Be it environmental concerns, suburban subsidisation, racial & gender discrimination, or infrastructural inefficiencies, the viability of low-density suburbia as a long term housing solution has been long called into question. Yet even through the crippling trading of short-term growth for long-term liabilities, New Zealand suburbia continues to grow without signs of slowing. While planning laws and governmental intervention have attempted to encourage the adoption of higher density living with varying success, the hesitancy of New Zealand suburbanites is evident. From an architectural perspective, the quality and desirability of the competition in the form of mid-high rise residential developments, may well be contributing to said hesitancy. In a research article by Hazel Easthope and Andrew Tice it was said that; “a disparity exists between identified planning assumptions regarding apartment residents and the actual apartment population.” (2011). This thesis intends to fill that void by developing design strategies that translate the desirable aspects of the New Zealand ‘quarter-acre dream’ and better cater to the needs and preferences of current suburbanites and those that would readily join them. While the jump to a high rise apartment is likely too much for many, the use of medium density housing provides a more palatable compromise. It’s entirely plausible that by designing a desirable, medium-density housing alternative to traditional detached suburban homes, catered towards the needs and preferences of New Zealand suburbia's majority demographic, architecture can play a more significant role in the slowing of suburban sprawl.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".