Basic income guarantee and politics : international experiences and perspectives on the viability of income guarantee
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
Introduction: Hopes and Realities of Adopting Unconditional Basic Income Guarantee Schemes R.K.Caputo On the Political Feasibility of the Basic Income Guarantee: Theoretical Considerations J.D.Wispelaere & J.A.Noguera PART I: HOPES The Best Income Transfer Program for Modern Economies E.M.Suplicy An Anniversary Note - BIEN's 25th G.Standing PART II: REALITIES European Union Countries Finland: Institutional Resistance of the Welfare State against a Basic Income M.Ikkala Germany: Far, though Close: Problems and Prospects of BI in Germany S.Liebermann Ireland: Pathways to a Basic Income in Ireland S.Healy & B.Reynolds Netherlands: Final Piece of the Welfare State is Still to Come M.Hasslet Spain: Basic Income from Social Movements to Parliament and Back Again D.Raventos , J.Wark , & D.Casassas PART II: OTHER OECD COUNTRIES Australia: Will Basic Income Have a Second Coming? J.Tomlinson Canada: A Guaranteed Income Framework to Address Poverty and Inequality? J.P.Mulvale & Y.Vanderborght Japan: Political Change after the Economic Crisis Introduces Universalist Benefit T.Yamamori Mexico: The First Steps toward Basic Income P.Yanes United Kingdom: Only for Children? M.Torry United States of America R.K.Caputo PART III: OTHER COUNTRIES Iran: A Bumpy Road toward Basic Income H.Tabatabai
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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