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
When students chatter in class it can be disruptive, but could that chatter also have some redeeming qualities? We asked students to keep track of their social interactions in a particular class. On days when students had more social interactions than usual, they reported a greater sense of belonging, which was, in turn, related to greater class enjoyment (i.e., a within-person effect). Further, students who tended to have more social interactions than others reported a greater sense of belonging, which was, in turn, related to greater class enjoyment (i.e., a between-person effect). These results held when examining daily ratings of social interactions, belonging, and class enjoyment, and when examining overall end-of-semester ratings. Critically, higher average daily feelings of belonging mediated the effect of the number of average daily classroom interactions on students’ end-of-semester class enjoyment and marginally on grades. For educators, promoting peer-to-peer conversation may create a positive effect by which students judge the overall class experience positively.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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