Bibliographic record
Abstract
PART I: AMERICAN FEDERALISM IN NATIONAL AND COMPARATIVE PERSPECTIVE Federalism, the Bush Administration, and the Evolution of American Politics T.Conlan What a Difference a Few Decades Make: American Conservatism, Constitutional Issues, and the Bush Presidency J.D.Aberbach & G.Peele Canada's Open Federalism: Past, Present, and Future Tense C.Dunn PART II: AMERICAN FEDERALISM IN TRANSITION Three Faces of Contemporary American Federalism J.Kinkaid Fragmented Structures and Blurred Boundaries: Strategies for Regional Governance C.W.Stenberg Congressional Devolution of Powers J.Zimmerman PART III: AMERICAN FEDERALISM AND INEQUALITY Hurricane Katrina and the Persistence of Racially Structured Federalism K.Johnson The Politics of the State Children's Health Insurance Program D.Jaenicke & A.Waddan Understanding the Politics of Rights in a Punitive Era: Indigent Defense 1972 to the Present A.Worden & A.Davies PART IV: AMERICAN FEDERALISM AND SOCIAL ISSUES Gay Rights, the Marriage Protection Amendment, and the States E.Ashbee Clearing the Air: The New Politics of Public Smoking in the US C.J.Bailey Abortion, the Judiciary, and Federalism in North America R.McKeever Federalism and American Federal Education Policy J.Parker
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".