Bibliographic record
Abstract
New Business: Ymir – remember to get reservations in. Inn on the Road- $352 total expense for feast-$90 people cooking (360)- $20-$25 children – Caterine St. Loe will do children’s ’ activities. $? Prizes for tourneys Donated. Making decorations, bring banners, count on 90 people, and encourage reservations, charity to be the battered women’s shelter. Novice Tourney- Challenge of Phoenix: Gaelan to use Robear’s field kitchen. Working on a bid for IAPE for January at Daniel Stowe Gardens Seneschal: 4 th quarter reports for seneschal, chronicler, MoM & Waivers are in. Rapier charity tourney @ Ymir – will get name of charity for checks – collect practice, university & Feb meetings @ Friday night of Ymir – New web minister – Kevin (Cyriac) Exchequer: getting married, will do report ASAP. $1243.94 in acct.
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.
How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".