Bibliographic record
Abstract
in the Valley by Helena Handbasket 38the foileDViCtorian train roBBery by Aneeda Huginkiss gree humidity. Just having a bright idea caused sweat to cascade down the spine, let alone hanging big steel targets, pitching tents, drag-ging and placing props, tables, and 100 other things for the SASS Canadian Central Regional Match at the Bar-E Ranch. How big were the targets? So big that not a single one of the 91 shooters managed a clean match! When the targets are big, front sights seem redundant, and aren’t. That was particularly felt by the match officials and volunteers, who, after setting up the match in an oven for four days decided to “shoot through ” on Thursday afternoon to leave themselves free to work the match. Tales of woe covered the ground like spent shot wads! Match Director Northern Crow, SASS #39113, a gunfighter whose ambition it is to own every muley-eared hammer shotgun in Canada, forgot to cock his Belgian beauty be-fore a stage. “I NEVER, forget to arrie, Ontario – We’re used to being called The
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".