Intergovernmental Relations in Federal Systems: Ubiquitous, Idiosyncratic, Opaque, and Essential
Bibliographic record
Abstract
Regardless of institutional design, all federal systems imply substantial degrees of interaction between federal partners. “Intergovernmental relations” (IGR) refer to the many modalities through which this interaction takes place. IGR take many shapes and forms. They fluctuate with time and according to policy areas. In this sense, they are idiosyncratic. They are, however, the essential “oil in the machinery” of every federal system, and as such may be rather ubiquitous. Following a short incursion in the terminological challenges relating to intergovernmental relations (and its companion: “comparative federalism”), this article explores the actors in the IGR game as well as the rich catalogue of legislative - and mostly executive-techniques on which these actors rely to structure their relations. IGR waltz between institutionalization and informality, often in an opaque fashion which tends to reinforce the executive branch of each federal partner. This brief overview of IGR from a comparative perspective suggests that federations grounded in the “continental civil law tradition” are more likely to structure IGR through legal mechanisms and norms than their more pragmatic “common law” counterparts. Though this is a significant simplification, the latter tend to consider IGR primarily (if not exclusively) through a political lens. Yet – somewhat paradoxically - regardless of informality and legal status, IGR play similar functions in various federal systems. Coordination functions, of course. But also para-constitutional engineering ones, through which federal actors (generally the various executives) implicitly alter the official federal architecture.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".