Audio-video recording of ad hoc software development team interactions
Bibliographic record
Abstract
Ad hoc interactions characterize the natural behaviors observed in any teamwork situation. Our objective is to find out how these interactions are related to the roles team mates play. Observations on the phenomenon are based on audio-video recordings of software development team interactions occurring in a large software development organization with a highly standardized software development process in place. Detailed observations were recorded on the activities of four of the twelve members of the development team. Thirty-five hours of audio-video recordings were analyzed, in which a total of 404 face-to-face ad hoc collaborative interactions were observed. The results provided a quantitative demonstration of the impact of a newcomer, a ldquogururdquo, and a project manager on the team dynamics. This study, although conducted in a specific professional environment, can provide useful information for a better understanding of the face-to-face communication needs of a software development team.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".