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Record W2604589690 · doi:10.1177/0021886317697971

Aesthetic Rationality in Organizations: Toward Developing a Sensitivity for Sustainability

2017· article· en· W2604589690 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

VenueThe Journal of Applied Behavioral Science · 2017
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsConcordia University
Fundersnot available
KeywordsRationalityValue (mathematics)SustainabilityVirtueSociologySustainable developmentEpistemologyKnowledge managementPsychologyComputer sciencePolitical sciencePhilosophyEcologyLaw

Abstract

fetched live from OpenAlex

This article explains the coexistence and interaction of aesthetic experience and moral value systems of decision makers in organizations. For this purpose, we develop the concept of “aesthetic rationality,” which is described as a type of value-oriented rationality that serves to encourage sustainable behavior in organizations, and to complete the commonly held, “instrumentally rational” view of organizations. We show that organizations regularly exhibit not only an instrumental rationality but also an “aesthetic rationality,” which is manifested in their products and processes. We describe aesthetics, its underlying moral values, its evolutionary roots, and its links to virtue ethics as a basis for defining the concept of aesthetic rationality. We examine its links with human resources, organizational design, and other organizational elements. We examine these implications, identify how an aesthetic-driven ethic provides a potential for sustainable behavior in organizations, and suggest new directions for organizational research.

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)0.003
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
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 head0.144
GPT teacher head0.376
Teacher spread0.232 · 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