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Record W2189176724 · doi:10.22215/cjers.v4i1.2447

Accumulation by Any Means: Neoliberalisation and Environment in Post-Communist Europe

2008· article· en· W2189176724 on OpenAlexvenueno aff
Frederick Peters

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringContext (archaeology)CommunismPolitical scienceEconomyPoliticsCommunist stateEconomic systemEconomicsGeography

Abstract

fetched live from OpenAlex

This paper explores water services restructuring in the post-communist Europe. The cases of the cities of St Petersburg, Russia and Tallinn, Estonia serve to trace changes in tone and timbre over the course of the post-communist transition to a market based economy. This paper is divided into two sections: we begin by placing the European Bank of Reconstruction and Development (EBRD) in the context of the World Bank and International Monetary Fund–the International Financial Institutions significantly involved with infrastructure rebuilding. Section Two presents a brief look at specific cases of municipal water restructuring in the Baltic Region in postcommunist transition period, 1991 – 2006, brokered and funded in part by EBRD money. Tracing investments and the strategic partnerships formed in the region by the EBRD sheds light onto the development of IFI capacity and strategy since the early 1990s. The politics behind the notion described in shorthand with Harvey’s reworking of the Marxian ‘Primitive Accumulation’ is crucial to understanding the dynamics and trends often apparent in water infrastructure restructuring.
 
 Full text available at: https://doi.org/10.22215/rera.v4i1.193

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.784
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.046
GPT teacher head0.265
Teacher spread0.219 · 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 teacher head, 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
Published2008
Admission routes1
Has abstractyes

Explore more

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