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A Tentative Study on the Semi-reorganization Experiments in the System Conversion Process of State-owned Corporations

2010· article· en· W1869415602 on OpenAlexvenueno aff
Xiang-cheng Shen

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsSolidityState ownedPolitical scienceHumanitiesProcess (computing)State (computer science)AccountingBusinessEconomicsComputer scienceMarket economyPhilosophy

Abstract

fetched live from OpenAlex

This article talks about the functions of semi-reorganization in the system conversion process of state-owned corporations and its implementation preconditions. Further discussions are made on relative financial accounting methods. Key Words: Semi-reorganization, state-owned corporations, solidity principle Resume L’auteur expose dans cet article la role de la quasi-reorbganisation dans la reorganisation structurelle des entreprises d’Etat et les conditions de son application, puis traite les moyens de comptabilite financiere concernes Mots-cles: la quasi-reorbganisation, les entreprises d’Etat, le principe de stabilite 摘 要 闡述了准改組在國有企業改制中的作用,以及實施准改組的條件;並進一步討論了相關的財務會 計處理方法。 關健詞:准改組;國有企業;穩健性原則

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 score0.175
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.033
GPT teacher head0.313
Teacher spread0.280 · 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
Published2010
Admission routes1
Has abstractyes

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