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Record W2914865710 · doi:10.1007/978-981-13-1190-1_4

State Power, Spatial Inequality, and Geographical Expertise: Notes on Method

2019· book-chapter· en· W2914865710 on OpenAlex
Merje Kuus

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNew geographies of Europe · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversität Leipzig
KeywordsToolboxNegotiationState (computer science)Power (physics)Capital (architecture)InequalityProcess (computing)Political scienceSpatial inequalityRegional scienceSociologyGeographyComputer scienceLawMathematics

Abstract

fetched live from OpenAlex

Abstract Spatial planning in Europe is becoming an increasingly transnational process: the flows and networks of expertise and influence do not fit the patchwork of states, but combine national, sub-national, and inter-national elements in new and ever-changing combinations. Studying the process requires a methodological toolbox that is more flexible than the usual catalogue of national, regional, local, and European scales. This chapter uses EU-level diplomatic negotiation as an example to begin to unpack what such a methodological toolbox might look like. The author argues that a closer look at the everyday practice of policy-making brings out nuances about symbolic capital that the usual study of nation-states obscures.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.309
Teacher spread0.279 · 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