Canada: The State of the Federation, 2012
Bibliographic record
Abstract
Regional resource disparities and the tensions they generate are a perennial Canadian topic. This edition of Canada: The State of the Federation presents essays on regions, resources, and the resiliency of the Canadian federal system. Contributors consider questions such as: to what extent do Canada’s natural resource industries benefit the Canadian economy? Do Canada’s federal institutions hinder or promote the ability of the economy to respond to global economic shifts? Do current intergovernmental structures allow for constructive dialogue about national policy issues? In responding to these and related questions, many of the authors touch on energy issues. Others consider the importance of functional institutions in a federal or multilevel context as an essential requirement for the effective resolution of issues. Together, the volume raises questions about the relationship of state and society, the importance of identity, trust, and moral legitimacy for the operation of our federal institutions, and the extent to which federal institutions are reinforced or placed under stress by societal structures. The theme of this volume was triggered by Richard Simeon, the outstanding scholar of federalism who passed away in October 2013, and it is dedicated in his honour.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.015 |
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".