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Record W2895846821 · doi:10.12816/0048621

Practopoietic Lens to Conceptualize Temporary Organizing

2018· article· en· W2895846821 on OpenAlexaff
Ralf Müller, Ravikiran Dwivedula, Christophe Bredillet

Bibliographic record

VenueSingaporean Journal of Business Economics and Management Studies · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsUniversité du Québec à Trois-RivièresBrandon University
Fundersnot available
KeywordsLens (geology)Through-the-lens meteringPsychologyOpticsPhysics

Abstract

fetched live from OpenAlex

The purpose of this paper is to conceptualize temporary organizing as a practopoietic system. We critically review the current conceptualizations of projects; from the traditional project management perspective, and the temporary organization perspective using a systems approach. By juxtaposing the characteristics of the project with a system, we argue that traditional project management is akin to an autopoietic system while temporary organizations may be conceptualized as an allopoietic system. However, these conceptualizations are inadequate to explain the dynamics of the project- the internal workings and its interaction with the environment, as well as the complexity associated in such dynamics. Hence, we reiterate the need to consider the emerging conceptualization of projects as temporary organizing. We position temporary organizing as a practopoietic system that sufficiently explains the dynamics of project within itself, and with the environment while considering the complexity associated with such arrangements.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.015
Scholarly communication0.0060.007
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.215
GPT teacher head0.383
Teacher spread0.168 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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