Changing patterns in the distribution of economic welfare : an economic perspective
Bibliographic record
Abstract
1. What's behind the increase in inequality? An introduction Peter Gottschalk, Bjorn Gustafsson and Edward Palmer 2. Policy changes and growing earnings inequality in seven industrialised countries Peter Gottschalk 3. A survey of income inequality over the last twenty years - how does the UK compare? Karen Gardiner 4. Economic adjustment and distributional change: income inequality and poverty in Australia in the 1980s Peter Saunders 5. Unemployment, unemployment insurance and the distribution of income in Canada in the 1980s Lars Osberg, Sadettin Erksoy and Shelley Phipps 6. Distribution of economic well-being in Japan: towards a more unequal society Toshiaki Tachibanaki and Tadashi Yagi 7. Income inequality and poverty under transition from rapid inflation to stabilisation: Israel 1979-90 Lea Achdut 8. Changes in inequality in Greece in the 1970s and the 1980s Panos Tsakloglou 9. The development of income distribution in the Federal Republic of Germany during the 1970s and 1980s Richard Hauser and Irene Becker 10. Income inequality and poverty in Ireland in the 1970s and 1980s Tim Callan and Brian Nolan 11. Income distribution in France: the mid-1980s turning point Pierre Concialdi 12. The distribution of economic well-being in the Netherlands, its evolution in the 1980s and the role of demographic change Ruud Muffels and Jan Nelissen 13. Changes in Swedish inequality: a study of equivalent income 1975-91 Bjorn Gustafsson and Edward E. Palmer 14. Income inequality and poverty in Finland in the 1980s Markus Jantti and Veli Matti Ritakallio 15. Disparities in the economic well-being of Hungarian society from the late 1970s to the 1980s Odon Elteto 16. The emergence of the Labour market and earnings distribution: the case of the Czech Republic Jiri Vecernik.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".