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Record W1978169000 · doi:10.1177/097168581001500202

Ethical Message of the Mahabharata in the Wake of the Global Financial Crisis

2009· article· en· W1978169000 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Human Values · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicLeadership, Behavior, and Decision-Making Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVirtueVirtue ethicsFinancial crisisHarmony (color)SpiritualityEnvironmental ethicsSociologyBusiness ethicsPolitical scienceLawEconomicsPhilosophy

Abstract

fetched live from OpenAlex

This article deals with the concept of greed as pertaining to Business Ethics in today’s world, considered part of the system of the study Ethics as such, in the backdrop of the recent happenings in the financial world in the USA, whose repercussions have been felt all over. The analysis draws inspiration from the words in the Mahabharata, both with a view to improving the existing theories in place in the West today, as well as having a handle on greed management so needed to set liberalism on the right footing. The article brings into focus the secular spirituality imbedded in the epic relating to the concept harmony, without recourse to God parlance, a virtue around which the ethical considerations move, bringing a needed improvement on the Virtue Ethics of today, and harmonizing the three conflicting ethical theories of the day. Greed management is effective only when we look beyond science to the area of values putting the right emphasis on Virtue Ethics.

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.

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)0.007
metaresearch head score (Gemma)0.006
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 score0.540
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
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 head0.150
GPT teacher head0.449
Teacher spread0.299 · 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