Former leaders in modern democracies : political sunsets
Bibliographic record
Abstract
Introduction K.Theakston & J.de Vries After the White House - the Modern US Post-Presidency I.Morgan Former Prime Ministers in Britain Since 1945 K.Theakston The Strange Afterlives of Canadian Prime Ministers S.Azzi The Evolution of Prime Ministerial Afterlives in Australia P.Strangio The Political Afterlives of German Chancellors W.E.Paterson Former Leaders in France D.S.Bell Outside the Bubble - the Activities and Influence of Former Taoisigh E.O'Malley From Oblivion to Limelight: Stability and Change in Dutch Post-Prime Ministerial Careers J.de Vries , P.'t Hart & H.Onstein The Afterlife of Belgian Prime Ministers L.De Winter & I.Rezsohazy The Once and Future Prime Ministers of Israel D.Korn Conclusion K.Theakston & J.de Vries
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".