Alternate routes: the dynamic of intergovernmental relations in Canada and Australia
Bibliographic record
Abstract
This Master’s Thesis compares the dynamics of intergovernmental relations (IGR) in Canada and Australia. In particular, the study explores how two such similar countries have developed such distinct sets of intergovernmental institutions. In Australia, the Commonwealth has increasingly dominated IGR since the 1930s, a process which culminated with the creation of the Council of Australian Government, a “vertical” (Commonwealth-state) institution. In Canada, federal-provincial-territorial relations have been far less institutionalized. Instead, “horizontal” (provincial-territorial) relations have evolved slowly into the Council of the Federation, the most regularized forum for IGR in Canadian history. By examining the historical development of federalism more generally and IGR specifically, this study uncovers a mutually-reinforcing relationship between centralization and the verticality of IGR in Australia, and a corresponding bond between decentralization and horizontality in Canada. Based on original interviews with key intergovernmental officials in each country, the study attributes these relationships to a number of factors, including the presence of multi-nationalism, the strength of intrastate federalism, the nature of judicial interpretation, the structure of fiscal federalism, and the personal style of political figures. The thesis concludes that verticality in Canada and horizontality in Australia are functions of the same factors which made one decentralized and the other centralized, and that institutions of IGR are both cause and effect of the prevailing dynamic in either federation.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".