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Record W3122888717 · doi:10.1016/j.cpa.2008.02.004

A Levinasian ethics critique of the role of management and control systems by large global corporations: The General Electric/Nuovo Pignone example

2009· article· en· W3122888717 on OpenAlexaff
Norman B. Macintosh, Teri Shearer, Angelo Riccaboni

Bibliographic record

VenueUse Siena air (University of Siena) · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsCapitalismPrivilege (computing)CommodificationBusiness ethicsSociologyControl (management)OntologyCapital (architecture)LawEpistemologyEconomicsManagementPolitical sciencePhilosophyPoliticsEconomy

Abstract

fetched live from OpenAlex

This essay extends [Shearer, 2002] Levinasian critique of the role of financial accounting with its neo-classical underpinnings in today’s global market capitalism. It expands on Levinas’s ethics-of-being-for-the-other by emphasizing how he developed his radical ethics by drawing on the ancient Jewish texts, an ethics that gives place of privilege to ontology rather than epistemology in contrast to much conventionalWestern philosophy. The essay illustrates the potential of his ethics for mounting a critique of the use of management and control systems by global corporations. It provides General Electric’s takeover of the Italian company Nouvo Pignone as an instance. The systems are an essential element in the expansionary strategies of these massive enterprises that have come to dominate the world. The essay concludes that GE’s instantiation of its generic management and control systems into the firms it acquires runs afoul of a Levinasian ethics. That many large global corporations employ similar systems and tactics highlights the urgent need for a broader accountability on the part of such organizations than economic efficiency and producing profits to report to capital markets. Levinas’s ethics, thusly, presents a space of entry to expose and confront the economic commodification of employees scattered across the world.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.190
Teacher spread0.179 · 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

Citations27
Published2009
Admission routes1
Has abstractyes

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