Bibliographic record
Abstract
Searching for Certainty ‐ Inside the New Canadian Mindset By DARRELL BRICKER and EDWARD CREENSPON. Paradigm Shift: Globalization and the Canadian State By STEPHEN MCBRIDE. The Internationalization of Public Management: Reinventing the Third World State Edited by WILLY MCCOURT and MARTIN MINOGUE. The 2000 Federal Budget: Retrospect and Prospect Edited by PAUL A. R. HOBSON and THOMAS A. WILSON. La gestion des ressources humaines dans les organisations publiques: collection Parametres De LOUISE LEMIRE et YVBS‐CHANTAL GAGNON. Making Results‐Based State Government Work By BLAINE LINER, HARRY P. HATRY, ELISA VINSON, RYAN ALLEN, PAT DUSENBURY, SCOTT BRYANT and RON SNELL. Canadian Environmental Policy: Context and Cases Edited by DEBORAL. VANNIJNATTEN and ROBERT BOARDMAN. Planning Canadian Regions By GERALD HODGE and IRA M. ROBINSON.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.559 | 0.556 |
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".