Newsletter From the Desk of the Chief Librarian
Bibliographic record
Abstract
You gotta understand, It’s just our bringin ’ up-ke That gets us out of hand. Our mothers are all junkies, Our fathers are all drunks. Golly Moses, natcherly we’re punks.” The producers, striving for historical accuracy, wanted Officer Krupke and his police colleagues to be dressed according to the standards of the mid-1950s. The fashion designers searched in vain for a police dress code until they contacted the Sealy Library. The Police Academy couldn’t produce one, nor could other libraries in the city. We immediately found the Police Manual for 1956 with a chapter on police uniforms that included everything from the placement of insignia for different ranks to the wearing of proper gloves. For example, among many, many specifications, sergeants “shall wear on both sides of collar, one inch from edge, on all uniform coats the regulation numerals, letter or insignia denoting the command to which attached. ” Would that all popular culture entertainments featuring law enforcement personnel go to such lengths to get the details correct. Once again Sealy Library proved the premiere resource for all facets for the study of the criminal justice system and our librarians stand ready to aid even non-traditional researchers, such as costume designers. On another note, we’d like to welcome Karen Okamoto to the Library faculty. Karen comes to us from the University of Western Ontario, where she completed her graduate library degrees. She also holds a sociology Master’s from the University of Alberta. We are also pleased to have Kristin Chong as the new Assistant to 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.838 | 0.862 |
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 source (direct Gemma or distilled Codex), 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".