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Record W4313524031 · doi:10.1177/00207020221143277

The interregnum: Governance in the new world disorder

2022· article· en· W4313524031 on OpenAlexafffund
W. Andy Knight

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversity of Alberta
FundersFulbright Canada
KeywordsInterregnumCorporate governanceContemplationReflexivityMoment (physics)SociologyEpistemologyPolitical scienceSocial scienceLawEconomicsManagementPhilosophy

Abstract

fetched live from OpenAlex

There is a crisis of global governance at this moment in our history -- a moment being labeled as 'the interregnum -- a moment of transition from one world order to another. The turbulence and disequilibrium of this moment in our history have triggered intense and growing interest in the concept and practice of governance at all levels. This is not a reflexive moment; it is a time for serious reflection and contemplation; a time for reconceptualizing ‘global governance’; an auspicious moment for constructing a new global governance paradigm. To assist in this introspective exercise, it may be important to shift from 'problem-solving' theorizing to a 'critical theory' approach that stands outside prevailing understandings of what global governance has come to mean and discard the oversimplified state-centric vision of world order; replacing it with the more nuanced 'summative' global governance - a concept that is more sophisticated and flexible than previous ones and may provide the needed space and time for us to transform the practice of global governance.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.034
Scholarly communication0.0120.011
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.006
GPT teacher head0.310
Teacher spread0.304 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations3
Published2022
Admission routes2
Has abstractyes

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