Bibliographic record
Abstract
Diversity and the Future of Affirmative ActionWilliam D. Adams, President No Alternative: Dennis Ross sees negotiation as the only way to end Mideast violence Just Wondering…Why is the blue book blue? A Rare Lecture, Important Lesson wit & wisdom Lecture Marks 175 Years of Colby Economics The Principal Principle The Other Interview On The Ground: Guilain Denoeux teaches democracy in Mideast, North Africa How We Teach Love of Labor Lost Q&A: Cheryl Townsend Gilkes on ministering, teaching and immersion in the church Another Side: AIRE grant gives undergraduate research a voice The Art of Exploration: Jacqueline Johnson '01 takes Watson Fellowship to former French colonies Quebec City Protest What's Next His Country Home: Kurt Wolff '84 traces the evolution of country music in a new Rough Guide Joining the Club Recent Releases:Empire Falls, by Richard Russo P'04The Nation's Tortured Body: Violence, Representation, and the Formation of a Sikh "Diaspora", by Brian K. Axel '89Night Crossing, by Don J. Snyder '72The Notorious Astrological Physician of London: Works and Days of Simon Forman, by Barbara Howard Traister '65 Strong Down the Stretch: Rebuilding year turns into "a pretty amazing spring" Women's Lacrosse Bounces Back Sports Shorts An A Cappella Rainbow: Generations of Colbyettes mark 50th with celebration in song Joachim Nominated Alumni Trustee A Not So Little Get-Together
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.444 | 0.183 |
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".