Bios: The Biology Department Newsletter - Fall 2006
Bibliographic record
Abstract
Vol. XVIII, No.1 | [Articles:] "Bishop Appointed Biology Chair, Matos Assoc. Chair"; "Biology Students Publish \nwith Faculty Mentors"; "Students Present Research"; "Faculty Publish, Present Results of Research"; "Students Earn Fellowships, Honors, Awards, Grants,"; "Twilight Party Attracts \nMany to Botanic Garden"; "New Graduate Student Earns \nFrequent Flyer Miles"; "A Summer Away and No Time \nto Play: What???s the Point?"; "Crusty soils: How do they affect \nnative plants?"; "Biology Honors Program \nSeeks a Few Good Students"; "Biology Faculty Garner \nGrants and Awards"; "Biology Faculty Take Lead in Improving K-12 Science Teaching and Learning"; "Tropical Biology Semester In Costa Rica planned for Srpring 2003"; "Faculty Serve Beyond Campus"; "Ten Days Under the Sea"; "Biology Department Welcomes \nInstructors, Research \nCollaborators'; "Many Attend Open House"; "Faculty Invite Students \nTo Do Research"; "Biology Alumni News"; "Catalina Marine Biology \nSemester Off & Running"; "Genetic Counseling Program"
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.505 | 0.385 |
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".