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Record W2120809672 · doi:10.1111/etap.12010

DiPaul, Inc.: Transitioning in Measured Steps

2013· article· en· W2120809672 on OpenAlexaff
Galina Shirokova, Gina Vega, Tatiana Kozyreva

Bibliographic record

VenueEntrepreneurship Theory and Practice · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsBusinessOfficerShareholderPosition (finance)Chief executive officerCorporate governanceCore (optical fiber)Process (computing)Carry (investment)ManagementAccountingEconomicsEngineeringLawFinanceComputer scienceTelecommunicationsPolitical science

Abstract

fetched live from OpenAlex

This case takes place in Russia in 2008, not quite 20 years into the post–Soviet developing economy. DiPaul was an authorized dealer of electronic instruments, equipment, and materials for the production and assembly of printed circuit boards as well as soldering equipment. Its core business was supplying measurement instruments and process equipment. In the summer of 2008, the chief executive officer, who was also the majority stockholder, decided to reassign authority in a formal organizational transition so that he could become more engaged in policy and leadership of the Association of Russian Producers of Electronic Appliances and Instruments. The protagonist's concerns were as follows: How to carry out such a management transition? Who among the top management team could fit the position best? How must the organizational structure of the company be changed to accommodate the shift in leadership? And importantly, what should his own future role be?

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)0.003
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: none
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.035
GPT teacher head0.225
Teacher spread0.190 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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