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Record W3036596499 · doi:10.1080/13569775.2020.1777042

Poland in a time of geopolitical flux

2020· article· en· W3036596499 on OpenAlexaff
Alexander Lanoszka

Bibliographic record

VenueContemporary Politics · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsGeopoliticsPolitical scienceNational securityTreatyState (computer science)Order (exchange)Political economyPower (physics)Balance (ability)North Atlantic TreatyGreat powerPosition (finance)Public administrationLawPoliticsSociologyEconomics

Abstract

fetched live from OpenAlex

President Donald Trump has provoked U.S. allies into reevaluating their own national strategies and position within the international order that the United States purportedly fashioned and has sustained since 1945. This essay looks at Poland. Like other treaty allies such as Germany and Japan, Poland has maintained – even deepened – its security relationship with the United States in order to manage Trump. What distinguishes Poland, however, is that it more explicitly supports the military basis upon which U.S. global leadership rests. Because the United States is offshore, its preponderance helps Poland balance against Russia and head off potential security dilemmas within Europe. This essay contextualises the Polish-American relationship and explores how the United States has played in Poland's national security strategy. As Poland values the military primacy associated with the United States being a unipolar power, it is increasingly confronting geopolitical challenges for which U.S. support can only provide partial solutions.

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)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.012
Scholarly communication0.0100.007
Open science0.0000.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.060
GPT teacher head0.301
Teacher spread0.242 · 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
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

Citations28
Published2020
Admission routes1
Has abstractyes

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