Testing and Refining Scholarly Communications Workflows and Work Habits for the Digital Age
Bibliographic record
Abstract
Greenhouse Studios | Scholarly Communications Design at UConn is a shared venture of the School of Fine Arts, University Library, and College of Liberal Arts and Sciences at the University of Connecticut. Greenhouse Studios’ core research mission is the development of workflows that bring diverse interdisciplinary teams together to create works of digital and non-traditional scholarship while also cultivating a collaborative work culture. This article summarizes the implementation, assessment, and refinement of those workflows, which together constitute Greenhouse Studios’ design-based, inquiry-driven, collaboration-first model of scholarly production. Findings from this research, undertaken with support from the Andrew W. Mellon Foundation, include modifications to Greenhouse Studios’ operations, specifically to the terminology used in its design-process model, the composition of team personnel, approaches to project management, tactics to foster divergent thinking, and our relationships to press partners.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.095 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".