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Record W6994630484

9782807617889.pdf

2020· other· en· W6994630484 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2020
Typeother
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyConstitutionGovernment (linguistics)Order (exchange)State (computer science)Constitutionalismsort
DOInot available

Abstract

fetched live from OpenAlex

With the increased mobility and interdependence brought on by globalisation, governments can no longer deal effectively with what were traditionally regarded as «domestic issues» unless they cooperate among themselves. International law may once have been a sort of inter-state law concerned mostly with relations between states, but it now looks increasingly inside state borders and has become, to a large degree, a trans-governmental law. While this creates significant challenges even for highly-unified «nation-states», the challenges are even greater for federations in which powers have been divided up between the central government and federated states. What roles should central governments and federated states play in creating and implementing this new form of governance? Using the Canadian federation as its starting point, this case study illustrates a range of factors to be considered in the appropriate distribution of treaty powers within a federation. Professor Cyr also shows how – because it has no specific provisions dealing with the distribution of treaty powers – the Canadian constitution has «organically» developed a tight-knit set of rules and principles responding to these distributional factors. This book is therefore both about the role of federated states in the current world order and an illustration of how organic constitutionalism works.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9070.971

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 head0.034
GPT teacher head0.282
Teacher spread0.247 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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