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Record W7030578839

A New Approach to Global Studies from the Perspective of Small Nations

2023· other· en· W7030578839 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2023
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant chemical constituents analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntySuperpowerGlobal commonsGlobal governanceInternational relationsSovereign stateCorporate governanceTypologyPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

With emphasis on East Asian and North American examples – notably Japan and Quebec – Date, Laniel and their contributors take a new approach to the understanding of small nations and their role in the international system. Small nations, by their very nature, raise significant questions about what a nation is. Some small nations are sovereign states with relatively small populations and limited territory, others are nations within larger sovereign states, with distinctive cultures, governance structures or other features that differentiate them from their “parent” state. By focussing on non-European nations in particular, the contributors to this volume challenge our conceptions of what a small nation is and how it operates within the international system. They focus in particular on the nation-within-a-nation-state of Quebec and on Japan, supplemented by further examples from East Asia. By interrogating what these examples have to show us about the typology and character of small nations, they offer a critique of superpower and draw out the potential of small nation studies. A valuable resource for students and scholars of international relations and theories of the nation and nation state. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.480
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.000
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 head0.172
GPT teacher head0.394
Teacher spread0.222 · 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 teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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