Appendix. Official Organ of the Health Sciences Library. October, 2011, The
Bibliographic record
Abstract
Library Events: Art from the University of Colorado Denver Community / Melissa De Santis -- October Strauss lecture on Ayurveda / Lilian Hoffecker -- Library News Briefs: Textbook overload? / Lynn Schwalm -- From nutrients to neighborhoods resources available / Melissa De Santis -- Password assistance webpage / Mary Mauck -- Resource Updates: 3rd quarter resource review / Julie Silverman -- Mobile DynaMed / Rhonda Altonen -- EZProxy and EndNote / Lynne M. Fox and Jeff Kuntzman -- Rare Book Profile: The natural history and diseases of the human teeth / Emily Epstein -- Media/Medicine: Limitless / Lynne M. Fox -- Research Tip: New! CCTSI 5x5 -- LabArchives release supports iPad and other tablet devices -- ChemSpider / Addie Fletcher -- Teaching/Learning Notes: FindIt Tip / Julie Silverman -- Technology Tip: Alerts / John Jones -- Publishing Notes: Identifying journals for manuscript submission -- Lynne M. Fox and LIlian Hoffecker -- Librarian Picks: The psychopath test / Brittany Heer -- Profiles: Mike Pascoe / Emily Epstein -- New school year, new student assistants / Tami Hoegerl
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".