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Record W2127111661 · doi:10.1002/sea2.12018

A Model Socialist Steel Town Enters the Neoliberal Age: The Changing Political Economy of Nowa Huta, Poland

2015· article· en· W2127111661 on OpenAlexaff
Kinga Pozniak

Bibliographic record

VenueEconomic Anthropology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsWestern University
Fundersnot available
KeywordsDeindustrializationCapitalismSocialismPoliticsState (computer science)IndustrialisationNeoliberalism (international relations)EconomyPolitical economyPolitical scienceSociologyCommunismEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract This article examines how changing political and economic ideologies and projects—first socialism, then neoliberal capitalism—were worked out in a Polish industrial town called Nowa Huta. Nowa Huta was initially built after World War II as a town that would embody the socialist state's goals of industrialization, urbanization, and the creation of a working class. Following the collapse of the socialist government in 1989 and the ensuing market reforms, Nowa Huta experienced deindustrialization, privatization of state enterprise, unemployment, and decay of urban infrastructure. The article traces how this changing political economy was worked out in the cityscape and in the relationship between place, work, and community. It argues that the case of Nowa Huta allows us to see how global processes, such as industrialization and deindustrialization, and the changing organization of economy and work, are domesticated in local places and in relation to local politics and histories.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.334
Teacher spread0.274 · 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 designQualitative
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

Citations5
Published2015
Admission routes1
Has abstractyes

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