MétaCan
Menu
Back to cohort
Record W2147312315 · doi:10.17705/1jais.00028

Understanding Virtual Team Development: An Interpretive Study

2003· article· en· W2147312315 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of the Association for Information Systems · 2003
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsnot available
FundersUniversity of CambridgeHarvard Business School
KeywordsVirtual teamContext (archaeology)Computer scienceKnowledge managementVirtual LaboratoryHuman–computer interactionData scienceMultimedia

Abstract

fetched live from OpenAlex

In this paper, we develop an understanding of how virtual teams develop over time by inductively studying communication transactions of 12 United States-Canadian student virtual teams involved in ISD. Our analysis is based upon two influential streams of social science research: (1) interaction analysis, which aided in the examination of the micro-processes of communication among members of a virtual team, and (2) structuration theory, which provided a meta-framework to help link the microlevel communication patterns with the more macro-structures representing the environmental context as well as the characteristics of teams over time. Based on our interpretation of the communication patterns in the virtual teams, we propose a theoretical model to describe how virtual teams develop over the life of a project, and also attempt to clarify how the concepts of communication, virtual team development, and collaboration are related.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.051
GPT teacher head0.309
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