Canadian Cataloguing in Publication Data
Bibliographic record
Abstract
Governance is about guiding: it is the process whereby an organization steers itself. Studying governance means probing the distribution of rights, obliga-tions, and power that underpins organizations and social systems; under-standing how they co-ordinate their parallel activities and maintain their coherence; exploring the sources of dysfunction and lacklustre performance; and suggesting ways to redesign organizations whose governance is in need of repair. Governance also has to do with the complex ways in which the private, public, and civic sectors co-ordinate their activities, with the manner in which citizens produce governance through their active participation in a democra-tic society, and with the instruments and processes required to ensure good and effective stewardship. This series welcomes a range of contributions- from conceptual and the-oretical reflections, ethnographic and case studies, and proceedings of con-ferences and symposia to works of a very practical nature- that deal with
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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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.027 | 0.064 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.839 | 0.790 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".