Shared Practices in Articulating and Sharing Rationale
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
This paper reports a classroom study in which group learners brainstormed ideas in virtual group space and justified their ideas through articulating their rationales in the shared rationale space. The investigation focused on the learners' practices of articulating and sharing rationales. The results suggest that group members would brainstorm the ideas and generate rationales to justify the ideas before reading the others' ideas and rationales. Also, the members in general brainstormed all the ideas first and then elaborated the rationales to justify the ideas; and grouped the shared rationales according to their authors. The group members' reasoning styles were examined by using Rhetorical Structure Theory to analyze the shared rationales. It was found that similar reasoning styles existed across the groups. Additionally, the group context seemed to have affected the members' strategies of using contextual and additional information to justify their ideas. Several design implications are presented to support the practices of articulating and sharing rationales in virtual group workspace. The authors also articulate how their work contributes to other research areas such as project management, crowdsourcing, and online deliberation. Based on their study, the authors argue for a rationale-based knowledge management approach to complex collective activities in the online environment.
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 | 0.002 | 0.003 |
| 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 | 0.002 |
| 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