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Record W6893657842 · doi:10.5281/zenodo.3727153

Shaping Industry from the Left in Europe. Country Report: Poland

2016· article· en· W6893657842 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)AccessionEuropean unionSocial securitySocialismQuarter (Canadian coin)Work (physics)Period (music)

Abstract

fetched live from OpenAlex

Between 1989 and 2015, the Polish economy underwent many major changes. The essential, of course, was a systemic transition from socialism to capitalism. This transformation process lasted for many years and revealed its consequences at varied strengths over different periods. Another crucial factor in shaping the modern economic order in Poland was the accession to the European Union in 2004. The global economic crisis of 2008 was also significant in this respect. All the aforementioned, along with some specifically Polish circumstances, create a dynamic picture of the Polish economy in the last quarter of a century. The changes that took place in this period apply to virtually all areas of social and economic life: the structure of the economy, national income distribution, politics, the labour market, demography, the social security system, and finance. This report is an attempt to discuss the changes that have occurred in Poland in all these areas in the last 25 years. Its aim is to contribute to the discussion on progressive European industrial policy.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.066
GPT teacher head0.289
Teacher spread0.223 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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