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Record W4249647317 · doi:10.1111/1911-3838.12097

Chesapeake Energy Corporation

2016· article· en· W4249647317 on OpenAlexaffvenue
Brian Lane, Shane Moriarity

Bibliographic record

VenueAccounting Perspectives · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCorporate governanceCorporationShareholderTask (project management)BusinessEnergy (signal processing)Public relationsAccountingProxy (statistics)Political scienceEconomicsManagementFinanceComputer science

Abstract

fetched live from OpenAlex

Abstract This case provides a summary of events reported in the proxy statements filed with the SEC by Chesapeake Energy Corporation from its initial public offering in 1993 through 2011. These actual events provide a vehicle for the discussion of corporate governance issues and the means to effect a change in governance practices. Students are asked to perform two tasks. The first is to identify possible governance issues. The second is to suggest actions a shareholder might take. The objective of the first task is to provide students with experience in critically evaluating the governance structure and related actions taken by an actual board of directors. On completion, students should be better prepared to recognize signs of governance weakness beyond commonly discussed structural elements. The second task asks students to create a list of tactics that could be employed to influence corporate policies. The objective is to highlight the limited options available to most investors and to prompt some students to pursue corporate activism or the defenses against activism. The case is intended for use at the graduate level.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 designTheoretical or conceptual
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

Citations3
Published2016
Admission routes2
Has abstractyes

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