Bibliographic record
Abstract
security of tenure in 17 Sydney 158 taxation system of 17-18, 159, 162-3 university system of 154-5 welfare state of 10, 21 Australian Labor Party 159 housing policies of 160 Austria 21 institutional investment in 14 PRS of 15 PRS regulation in 16 security of tenure in 16 Bank of England reduction of domestic interest rates by 192 Belgium 21 PRS of 7 security of tenure in 16 welfare state of 10 boom/bust 64-5, 92-3, 121, 125, 168, 240-41 buy-to-let (BTL) investment growth during 9, 190-95 construction 32, 42, 77, 229 credit 1, 19-20, 42-3, 174-5, 195, 220, 240-41 cycles of 141, 175, 195 housing/real estate 1, 20, 28, 42-3, 66, 87-8, 91-3, 142-4, 168, 174-5, 188-9, 239-41 private renting 121-2 Canada welfare state of 21 Cerberus disinvestment of GSW Immobilien 42 China 149, 154 economy of 168 Hong Kong 12, 166 clientelism 74 comparative studies 2-3, 6, 23, 27, 200, 227 demand for private renting 13 dwelling stock 12-13, 33 housing policy 77, 91, 198 particularistic approach 4 universalistic approach 4 coordinated market economies (CMEs) 20-21, 225-7
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.042 |
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; both teacher heads agree on what is shown here.
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".