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Record W2885486399 · doi:10.1177/0007650318791780

A Communicative Constitutive Perspective on Corporate Social Responsibility: Ventriloquism, Undecidability, and Surprisability

2018· article· en· W2885486399 on OpenAlexaff
François Cooren

Bibliographic record

VenueBusiness & Society · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsViewpointsAction (physics)Perspective (graphical)Communicative actionCorporate social responsibilityBusiness ethicsEpistemologySociologyPublic relationsPolitical scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

Adopting a communication as constitutive of organization (CCO) perspective on ethics and corporate social responsibility (CSR) invites us to create the conditions of a dialogue, discussion, or debate between various stakeholders, who can then try to confront their respective positions on a given issue, and possibly come to a decision regarding how a situation should be evaluated and/or responded to. As shown in this article, getting human stakeholders to voice their concerns about a specific situation is a way not only to rationally confront multiple viewpoints on what should be done about it (à la Habermas) but also to allow elements of this situation to reveal themselves in a discussion. This is why any ethical decision has to experience a form of undecidability and surprisability. When beliefs and opinions can be called into question, it means that participants are ready to become attentive to what a situation might surprisingly call for. Communication is therefore a matter of ventriloquism, as human participants should also be considered the means by which elements of a situation manage to express themselves in a discussion, dictating specific courses of action over others. This concretely means that multiple voices can be heard in such a scene: not only the voices of the human stakeholders who speak to each other but also the voices of facts, principles, future generations, ecosystems, populations that are made to say things through these various turns of talk.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.049
GPT teacher head0.280
Teacher spread0.230 · 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.

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

Citations74
Published2018
Admission routes1
Has abstractyes

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