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Record W4389031420 · doi:10.29173/pandpr29412

En-Fleshed Practicing in Organisations Flesh as Elemental Carnality and Formative Medium for Organising Sustainability Development

2023· article· en· W4389031420 on OpenAlexvenueno aff
Wendlin Keupers

Bibliographic record

VenuePhenomenology & Practice · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFleshFormative assessmentSustainabilityTransformative learningReflexivitySociologyPerceptionConstructivePhenomenology (philosophy)PraxisEpistemologySocial sciencePhilosophyPedagogyEcologyComputer scienceFood scienceBiology

Abstract

fetched live from OpenAlex

Based on Merleau-Pontys’s philosophy of flesh, this paper outlines possibilities for organisational practices towards sustainability development. In order to elucidate these en-fleshed practices, the paper begins by presenting Merleau-Ponty’s phenomenology of the body and perception as well as his ontology of ‘flesh’. In particular, flesh is interpreted as elemental ‘carnality’ and formative medium. As such, it is processed through sensual and reflexive doubling as a reversibility and chiasm of the sentient and the sensible. This understanding opens for the path to a post-dualistic, transformative approach towards processes of post-dualistic ‘wild being and ‘inter-be(com)ing’ in organisations. These concepts of Flesh are related to affect and imagination as well as organization and sustainability. The paper then offers some practical and political as well as research implications and concludes with some final perspectives on possible enfleshed inter-practices of sustainability.

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)0.006
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 score0.434
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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