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Record W4253579069 · doi:10.1002/spip.401

Does distance still matter?

2008· article· en· W4253579069 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSoftware Process Improvement and Practice · 2008
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaInternational Business Machines Corporation
KeywordsIBMComputer scienceJazzTask (project management)SoftwareSoftware developmentData scienceSoftware engineeringProcess managementSystems engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract Nowadays, distributed development is common in software development. Besides many advantages, research in the last decade has consistently found that distribution has a negative impact on collaboration in general, and communication delay and time to complete tasks in particular. Adapted processes, practices, and tools are demanded to overcome these challenges. We report on an empirical study of communication structures and delay in IBM's distributed development project Jazz. The Jazz project explicitly focuses on distributed collaboration and has adapted processes and tools to overcome known challenges. We explore the effect of distance on communication and task completion time and use social network analysis to obtain insights about the collaboration in the Jazz project. We discuss our findings in the light of existing literature on distributed collaboration and delays. Copyright © 2008 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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