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Record W4396802195 · doi:10.1080/20403313.2024.2342194

Can the constitutional state accommodate the administrative state? Rousseau versus Hegel

2024· article· en· W4396802195 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurisprudence · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHegelianismState (computer science)Political scienceLawConstitutional lawGeneral willPhilosophyLaw and economicsSociologyMathematicsPolitics

Abstract

fetched live from OpenAlex

This essay inquires whether a constitutional state, understood as one ruled not by natural persons but by laws and legal decisions that free persons can endorse, can accommodate the administrative state, understood as one wherein executive agencies exercise law-making, statute-interpreting, and sanction-levying powers. Drawing from Rousseau and Hegel, it distinguishes between two stringent models of the constitutional state – a democratic-republican model and one ordered to an autonomous concept of Law – and compares their abilities to accommodate an executive with a robust law-making and statute-interpreting authority. The essay concludes that, whereas the democratic-republican model is hostile to the administrative state, the Law-centred model is at ease with it and allows it to flourish within bounds. The Law-centred model is thus the only one to reconcile a stringent concept of the constitutional state with the executive power that state needs to fulfil its positive obligations to its citizens.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.066
GPT teacher head0.374
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it