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Record W4393199992 · doi:10.58806/ijsshmr.2024.v3i3n09

Learning Framework of Project as a Temporary Organization: Based On the Scandinavian School Arguments

2024· article· en· W4393199992 on OpenAlexaff
Ali Salehi

Bibliographic record

VenueInternational Journal of Social Science Humanity & Management Research · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsMathematics educationSociologyPedagogyPsychologyKnowledge managementProcess managementPolitical scienceComputer scienceBusiness

Abstract

fetched live from OpenAlex

The main purpose of this study is identifying the nature of the project based on the Scandinavian school's arguments, examining the discourse of the critical success movement in PM, and then identifying project learning challenges as a critical success factor in project, and finally developing a comprehensive project learning framework which complies with project features. To this end, a systematic review method was used which, following its steps, out of 554 articles searched, 111 articles that were relevant to the research topic were selected and used. As the research conclusion, first, the project is a temporary organization, but not every temporary organization is a project. Second, although PM was praised by experts until a few decades ago, it was criticized by academics for a variety of reasons, including the failure of some important projects. Thus, the critical success movement was formed that emphasized the critical success factors in projects. Since project learning is considered one of the critical success factors, and it is also one of the major challenges in projects, in this study, a comprehensive project learning framework is developed. This framework is expected to be in line with the temporary nature of projects however, it has methodological limitations despite the development of related literature.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.376
Teacher spread0.311 · 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.

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
Published2024
Admission routes1
Has abstractyes

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