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Record W2033248640 · doi:10.1108/17538371211235263

Bounded becoming: insights from understanding projects in situation

2012· article· en· W2033248640 on OpenAlexaff
Viviane Sergi

Bibliographic record

VenueInternational Journal of Managing Projects in Business · 2012
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsSituatedConceptualizationOriginalityReflexivitySociologyContext (archaeology)Value (mathematics)EpistemologyOntologyProcess (computing)Engineering ethicsComputer scienceKnowledge managementManagement scienceQualitative researchSocial scienceEngineering

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to suggest a situated conception of projects, in order develop finer understanding of how these endeavors emerge and unfold over time. The author proposes that these understandings should be rooted in a process ontology, conceive action as situated and focus on actual practices as they are performed by all project actors. Taken together, these dimensions can renew how one views and approaches projects and their management. Design/methodology/approach The paper is illustrated with examples taken out of a study of a software development project, conducted in the ethnographic tradition. Findings The examples expose how a specific practice, planning, was accomplished differently depending on the moment and was affected by different circumstances and constraints. The paper also discusses how preferring a processual worldview is especially befitting projects. As endeavors instigated to create or to make something happen, projects are perpetually changing and in movement; it is therefore relevant that their conceptualization takes fully into consideration their intimate nature. Originality/value The originality and value of the paper lie in the combination of perspectives, which can be both useful in theorizing projects differently, and in enhancing practitioners' reflexivity. This combination, it is argued, can address a wide array of issues in the context of projects, can favor localized reflection on project management prescriptions and tools, and can help practitioners to sharpen their sensitivity to their own practice.

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)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0090.028
Scholarly communication0.0160.029
Open science0.0020.013
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.079
GPT teacher head0.310
Teacher spread0.231 · 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 designQualitative
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

Citations42
Published2012
Admission routes1
Has abstractyes

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