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Record W7135282654

Instytucjonalizacja partnerstw strategicznych. Analiza porównawcza ugruntowanych partnerstw Unii Europejskiej ze Stanami Zjedoczonymi, Japonią i Kanadą

2018· article· en· W7135282654 on OpenAlexaboutno aff
Agata Domachowska, Karolina Gawron-Tabor, Joanna Piechowiak-Lamparska

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobalization, Economics, and Policies
Canadian institutionsnot available
FundersUniwersytet Mikolaja Kopernika w Toruniu
KeywordsInstitutionalisationEuropean unionStrategic partnershipGeneral partnershipDirectiveSocial PartnershipSubject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Strategic partnerships are nowadays one of the tools most willingly applied in foreign policy. The subject of the presented analysis is the institutionalization process of a strategic partnership understood as the functioning of certain norms and rules in a given relationship (expressed in the founding documents of partnerships) and the regularization of joint bodies and meeting established partners: the United States, Japan, and Canada. The results show that it is possible to identify a pattern of institutionalization process used by the European Union in its relations with strategic partners; they also reveal how great importance contemporary players in the international arena attach to institutionalization processes in their mutual relations. formats. The aim of the article is a comparative analysis of institutional solutions applied in the European Union’s strategic partnerships with its relations with strategic partners; they also reveal how great importance contemporary players in the international arena attach to institutionalization processes in their mutual relations.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.010
Science and technology studies0.0010.002
Scholarly communication0.0080.004
Open science0.0000.003
Research integrity0.0000.001
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 head0.057
GPT teacher head0.252
Teacher spread0.195 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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