Book reviews
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
Ho, Lok Sang. (2001). Principles of Public Policy Practice. Norwell, MA: Kluwer Academic Publishers, 223 pp., $99.95. Murnighan, J. Keith, and John C. Mowen. (2002). The Art of High Stakes Decision‐Making: Tough Calls in a Speed‐driven World. New York: John Wiley and Sons, $27.95. Hibbing, John R., and Elizabeth Theiss‐Morse (eds.). (2001). What is it About Government that Americans Dislike? Cambridge: Cambridge University Press, xvi+ 279 pp. ISBN: 0521 79181 2. Little, Stephen, Paul Quintas and Tim Ray (eds.). (2002). Managing Knowledge: An Essential Reader. London: Open University in association with Sage Publications. Wanna, John, Joanne Kelly, and John Forster. (2000). Managing Public Expenditure in Australia. St. Leonards: Allen & Unwin. Gosling, James J. (2002). Budgetary Politics in American Governments, 3rd ed. New York: Routledge.
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 | 0.026 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it