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Record W2007865020 · doi:10.1080/14631370903090673

When East meets West: corporate governance challenges in emerging markets of Central and Eastern Europe – the case of Polish Aggregate Processors

2009· article· en· W2007865020 on OpenAlexaff
Daria Gołębiowska‐Tataj, Darek Klonowski

Bibliographic record

VenuePost-Communist Economies · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsBrandon University
Fundersnot available
KeywordsCorporate governanceContext (archaeology)BusinessVenture capitalJoint ventureEmerging marketsFunction (biology)AccountingIndustrial organizationFinanceGeographyCommerce

Abstract

fetched live from OpenAlex

The countries of Central and Eastern Europe (CEE) have multiple areas where the corporate governance function can fail. These challenges are multidimensional, complex and intertwined and relate to five key areas (financial control and accountability, conflict of interest resolution, corporate performance enhancement, value generation and transferability). The complexities of corporate governance in the CEE region are illustrated in the context of Polish Aggregate Processors, a Poland-based joint venture between two venture capital firms, a Western strategic partner and a state-owned enterprise. Notwithstanding the challenges, the article shows that most of the problems in the venture were self-inflicted, the result of poor co-operation between the partners and self-interest.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.802

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.208
Teacher spread0.179 · 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

Citations8
Published2009
Admission routes1
Has abstractyes

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