The Community You Have, The Community You Need
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
For the past two years, two of my graduate school colleagues and I have exchanged daily accountability emails. Sometimes the word “daily” gets a gasp, but indeed: every day (weekends are optional). In the morning, one person sends an email laying out her day’s goals and commitments, and the other two chime in as they start their own work. Over the course of the day, someone might shoot out another message, whether a practical question (“Do you guys know how that conference registration website works?”), a complaint (“Why is x book not on the library shelf ?”), an update (“Email advisor — DONE. Write para-graph — NEXT”), or a victory (“My article was accepted!”). At the end of the day — or the next morning — we each sum up our days. We’ve used our email to build a virtual office hallway, where we can poke our heads out our doors and express the frustrations, defeats, and triumphs of graduate study. It makes it all less lonely.
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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.021 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.010 |
| 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