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Record W2496026285 · doi:10.1017/cbo9780511488542.006

Stakeholders as citizens

2008· book-chapter· en· W2496026285 on OpenAlexaff
Andrew Crane, Dirk Matten, Jeremy Moon

Bibliographic record

VenueCambridge University Press eBooks · 2008
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessPolitical science

Abstract

fetched live from OpenAlex

The provenance of the ‘corporate democracy’ oxymoron has long been understood. The idea results from the inappropriate conflation of political ideals with market institutions. Its persistence can only be attributed to the intelligentsia's far greater comfort and familiarity with political models and events than with knowledge and appreciation of how markets function. Henry G. Manne, The ‘Corporate Democracy’ Oxymoron, The Wall Street Journal , 2 January 2007 Introduction In the previous chapter, we saw how our conception of corporations as acting like governments prompted us to consider an expanded and reconfigured constituency for corporate decision-making. Rather than thinking simply in terms of traditional stakeholder groups and relationships, a view of corporations as governments suggested a focus on citizens more broadly. This idea, that relevant corporate constituencies are not only stakeholders but can also be conceptualized as citizens, is not entirely new, nor is it relevant only for a view that assumes that corporations have adopted governmental responsibilities. Indeed, there has been a whole collection of work that has examined stakeholder groups as though they were citizens, but in the main this literature has not been concerned with the political role of the corporation as such, but rather with using the political metaphor of citizenship in some way to examine the specific rights and responsibilities that employees, consumers and other stakeholders might have in their relations with the firm.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.017
Scholarly communication0.0170.017
Open science0.0010.008
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0350.006

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 head0.071
GPT teacher head0.213
Teacher spread0.142 · 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 designNot applicable
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

Citations4
Published2008
Admission routes1
Has abstractno

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