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Record W2576519989 · doi:10.1108/jfc-01-2016-0009

Philosophical connections between the classical and the modern notion of corruption

2017· article· en· W2576519989 on OpenAlexaff
Michel Dion

Bibliographic record

VenueJournal of Financial Crime · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsEnlightenmentCiceroMoralityHegelianismModernityLanguage changeEpistemologyPoliticsPhilosophySociologyLawPolitical scienceHistoryClassics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to circumscribe the various philosophical connections between the classical and the modern notion of corruption from Enlightenment to post-modernity. Design/methodology/approach The paper analyzed to what extent the classical notion of corruption (Plato, Aristotle and Cicero) still influenced the way philosophers perceived the phenomenon of corruption during the Enlightenment (1625-1832), the transition period (1833-1900) and the post-modernity (1901 onward). Taking those historical periods as reference points, the author will see how literature about historical, social and political conditioning factors of corruption could convey the presence/absence of the classical or the modern notion of corruption. Findings The paper finds that the classical notion of corruption implies the degeneration of human relationships (Plato and Hegel), the degeneration of the body-and-mind unity (Aristotle, Pascal and Thomas Mann) or the degeneration of collective morality (Cicero, Locke, Rousseau, Hume and Kant). The modern notion of corruption as bribery was mainly introduced by Adam Smith. Nietzsche (and Musil) looked at corruption as degeneration of the will-to-power. The classical notion of corruption put the emphasis on the effects rather than on the cause itself (effects-based thinking). The modern notion of corruption as bribery insists on the cause rather than on the effects (cause-based thinking). Research limitations/implications In this paper, the author has taken into account the main representatives of the three historical periods. Future research could also analyze the works of other philosophers and novelists to see to what extent their philosophical and literary works are unveiling the classical or the modern notion of corruption. Originality/value The paper presents a philosophical and historical perspective about corruption. It sheds light on the way philosophers (and sometimes novelists) deal with the issue of corruption, whether it is from an effects-based or from a cause-based perspective.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.859
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.070
GPT teacher head0.331
Teacher spread0.260 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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