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Record W1501084497

The body of knowledge of the Project Management Institute-PMBOK® Guide, and the specificities of project management: a critical review

2010· review· en· W1501084497 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

VenueInnovar · 2010
Typereview
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsProject managementAmbiguityKnowledge managementContext (archaeology)Perspective (graphical)Relation (database)Process (computing)Process managementManagement scienceEngineeringEngineering ethicsSociologyComputer scienceSystems engineeringGeography
DOInot available

Abstract

fetched live from OpenAlex

The PMBOK® Guide of the PMI, which is the most widely disseminated and consolidated body of knowledge on project management, has been recognized as of limited use in the context of the realities of projects. This article makes use of 'discourse analysis' as a method for studying its paradigmatic basis and underlying suppositions in the light of the demands of management under current practice; particularly, in relation to the socalled 'soft' aspects and their associated levels of complexity. The article reveals the positivist vision underlying the process groups of the PMBOK®, and its focus on planning and control of predefined work, leaving out the management of many destructured or soft aspects. It proposes a perspective for updating the PMBOK® based on going beyond the dichotomy of hard projects versus soft projects, which favors a conception of management under conditions of uncertainty and ambiguity, in accordance with the demands of the real world.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0000.001
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 head0.160
GPT teacher head0.452
Teacher spread0.292 · 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