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Record W25964691 · doi:10.4212/cjhp.v68i2.1445

The proper role of shareholders in the decision-making processes of modern large Australian public companies

2009· article· en· W25964691 on OpenAlexvenueno aff
James Mayanja

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsShareholderBusinessAccountabilityCorporate governanceShareholder valueIntervention (counseling)Order (exchange)AccountingPublic relationsQuality (philosophy)Value (mathematics)FinanceLawPolitical science

Abstract

fetched live from OpenAlex

Calls for increased shareholder intervention in the routine business operations of large Australian public companies should be reconsidered. Constant shareholder involvement in matters concerning the management of a company's the routine business affairs is likely to cause several intractable problems. Most shareholders do not have the information or skills necessary to make sound decisions on either operational or policy issues. In any event, given that they are a collection of individuals and groups of people with different, and often, irreconcilable interests, shareholder opinions are bound to differ as to which course will best serve the interest of a company. Increased shareholder intervention in operational issues thus poses the threat of a decline in the quality of corporate decision making. For these reasons, the management of the business affairs of large, complex companies should continue to be the primary responsibility of boards of directors. Directors are, more often than not, better informed about the long-term prospects and value of a company. Therefore, in order to maximise the value of public companies, shareholder participation in decision-making should continue to occur in limited circumstances, as a means of promoting the accountability of directors.

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)0.000
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 score0.344
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.030
GPT teacher head0.271
Teacher spread0.241 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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