How actions and words come to make sense in a continuously changing world of work: A case study from software development
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.
Bibliographic record
Abstract
Abstract To be successful, collaboration at work requires its participants to have a common sense about what is happening and where things are heading. But how can collaborators have such a sense in common if what is going on continuously changes? This study investigates the joint communicative work participants in collaborative activity do to remain aligned on how things are going and where things are at for the purpose of maintaining a ground in common. Our test case for illustrating this joint work is the fluid and constantly changing world of software development. Our study uses a transactional approach to show how software developers working together continuously make available what they are attuned to, which constitutes their common ground that allows actions and talk to make sense. The common ground enables a common, inherently shared sense of what is happening and how things are going. Rather than having “meaning” in themselves, signifiers (words, gestures, body movements, cursor movements) create and are part of the common ground against which they make sense. Signifiers are motivated by and produce an accented visible that is available to all group members; and this accented visible (including the signs) makes for the common ground.
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 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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it