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Record W4387571679 · doi:10.18778/8331-302-3

Formy mocarstwowości we współczesnym świecie – studium przypadków

2023· book· pl· W4387571679 on OpenAlexfundno aff
Przemysław Łukasik, Marcin Gabryś, Joanna Beczkowska, Grzegorz Nycz

Bibliographic record

VenueWydawnictwo Uniwersytetu Łódzkiego eBooks · 2023
Typebook
Languagepl
FieldSocial Sciences
TopicGlobal Political and Social Dynamics
Canadian institutionsnot available
FundersGlobal Affairs CanadaGovernment of Canada
KeywordsTheologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Monografia analizuje mocarstwowość wybranych krajów – militarną, gospodarczą oraz polityczną. Zawiera studia przypadków poświęcone zwłaszcza tym aktorom stosunków międzynarodowych, którzy albo aspirują do roli wielkich mocarstw, albo pogodziły się ze swoją rangą „średniej potęgi”. Potencjał Unii Europejskiej czy Indii predestynuje je do zabiegania o miejsce pośród najbardziej znaczących aktorów na arenie międzynarodowej. Z kolei Japonia, Kanada czy Korea Południowa, zdając sobie sprawę z ograniczeń swojej potęgi, skupiają się raczej na wzmacnianiu istniejącego ładu międzynarodowego bądź balansowaniu między wielkimi mocarstwami.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0060.005
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.003

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 head0.048
GPT teacher head0.314
Teacher spread0.266 · 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
Published2023
Admission routes1
Has abstractyes

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