Instant messaging requests in connected organizations: ‘Quick questions’ and the moral economy of contribution
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
In this article we study the work and communication practices of two highly connected organizations, the members of which have all access to instant messaging (IM) on a professional basis. We document the development of a communicational genre, that of ‘quick questions’, and analyze the sequence organization of such IM conversation threads. We show how ‘quick questions’ enable the collaborative accomplishment of complex, knowledge-intensive tasks by recruiting colleagues constituted as experts capable of quickly answering information requests related to ongoing tasks. ‘Quick questions’ articulate communicative practices, ‘strong’ distribution of tasks and ‘organizing’ in highly connected organizations. We argue that they enact a distinctive cognitive and moral economy based on minimal forms of interaction and exchanges (which we call ‘contributions’), constituting a more general phenomenon.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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