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Record W1984544472 · doi:10.1108/mrr-11-2012-0256

Practical wisdom: reinventing organizations by rediscovering ourselves

2012· article· en· W1984544472 on OpenAlexaff
David Hurst

Bibliographic record

VenueManagement Research Review · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsEmbodied cognitionSociologyOriginalityRationalityPrudenceValue (mathematics)HegemonyJudgementEpistemologyBounded rationalityPhronesisEconomicsPositive economicsEnvironmental ethicsSocial scienceQualitative researchComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of the paper is to present a provocative view of what Peter Drucker would be writing about today in his self‐described role as a social ecologist. Design/methodology/approach The paper uses Drucker's qualitative framework to ask what changes that contravene conventional wisdom have already happened, whether they are relevant and meaningful and what opportunities they present. Findings The paper suggest that the concepts of ecological rationality and embodied cognition form the basis for a new framework to challenge the hegemony of the existing concepts of rationality based on frameworks drawn from neoclassical economics. Practical implications The primary implication is that an ecological framework of “both … and” is needed to embrace and contain the “either/or” of economics. This will sweep the liberal and fine arts back into management, render the concept and role of power in organizations discussable and place ethics, prudence and judgement at the centre of the management challenge. Originality/value The paper presents a provocative perspective that, if valid, with be extremely disruptive of the current Western management paradigm.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.074
Scholarly communication0.0150.020
Open science0.0020.010
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.211
GPT teacher head0.385
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2012
Admission routes1
Has abstractyes

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