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The functional logic behind the SGP

2010· book-chapter· en· W954723903 on OpenAlexaff
Martin Heipertz, Amy Verdun

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Presenting neofunctionalism For many years neofunctionalism was the leading explanatory approach to European integration (Haas 1964; Lindberg and Scheingold 1970, 1971). Based on the ‘liberal’ or ‘idealist’ or ‘world order’ international relations theory that sought to explain regional integration after the Second World War, it became discredited when it was unable to account for the apparent setbacks in the process, i.e. the fact that its automatic mechanisms were evidently unable to account for integration reversals or stagnation. Intergovernmentalism was the first theory to criticise the functionalist approach (Hoffmann 1966), but even Haas himself eventually agreed it had limitations (Haas 1975, 1976). The previously claimed automaticity of spillover principles could not be observed. However, during the 1990s a considerable number of scholars incorporated parts of the neofunctionalist principles into their theoretical approaches (Corbey 1995; Mutimer 1989; Tranholm-Mikkelsen 1991). The idea that integration in one area of policy-making could necessitate further decisions regained some of its attractiveness (cf. Börzel 2005; Niemann and Schmitter 2009; Risse 2005; Rosamond 2005; Schmitter 2004, 2005, 2009; Stone Sweet and Sandholtz 1998). Adherents to the approach were no longer concerned with the fact that the integrative principles could not always be observed and argued instead that the mechanisms they studied worked over longer periods of time, regardless of possible intermediate setbacks in the process of integration. According to the neofunctionalist approaches, the players that matter most are supranational actors, supranational institutions and transnational elites (Deutsch et al . 1957, 1967; Stone Sweet and Sandholtz 1998).

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.023
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.003

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 head0.040
GPT teacher head0.229
Teacher spread0.189 · 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 designNot applicable
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

Citations0
Published2010
Admission routes1
Has abstractyes

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