Land tax in Australia: Fiscal reform of sub-national government
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
© 2016 Vincent Mangioni. All rights reserved. Land Tax in Australia demonstrates how land tax operates and is administered across State and local governments in Australia. International expert Vincent Mangioni reviews the current status and emerging trends in these taxes in Australia and compares them with the UK, USA, Canada, Denmark and New Zealand. Using substantial original research, the author sets out what Australia must do through practice and policy to reform and bring this tax into the 21st Century. The need for fiscal reform and strengthening the finances of Australia's sub-national government is long overdue. These reforms aim to minimise the taxpayer revolts encountered in previous attempts at land tax reform, while improving tax effort in line with other advanced OECD countries. This book provides an essential resource for all property professionals working in development, valuation, law, investment, as well as accountants, tax economists and government administrators. It is highly recommended for students on property, taxation, legal and social science courses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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