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Record W1977923878 · doi:10.1145/2024645.2024652

Extending socio-technical congruence with awareness relationships

2011· article· en· W1977923878 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSociotechnical systemCongruence (geometry)Knowledge managementComputer scienceSoftwarePsychologySocial psychology

Abstract

fetched live from OpenAlex

Coordination in software engineering is necessary for software teams. To study coordination, researchers need a a way to conceptualize and measure it|one such measure is socio-technical congruence. Within a team setting, awareness of other's tasks and abilities enables coordination, but the conceptualizations for socio-technical congruence do not include awareness. In this paper, our goal is to include awareness in socio-technical congruence. To do this, we conduct an empirical investigation of a team's awareness behaviour. We examine how developers transmit awareness information in a global software-engineering environment in a project called Ship using direct observations, interviews, and a questionnaire. We found that team members were satisfied with using simple awareness mechanisms such as email and meetings. We also identified that experienced team members served as brokers and filled coordination gaps, and that team members used multiple types of media simultaneously. Based on this work, we propose an aggregated sociotechnical congruence measurement that can be used to specify multiple relationships, such as awareness relationships, as interactions that satisfy technical dependencies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.076
GPT teacher head0.281
Teacher spread0.205 · 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