Bibliographic record
Abstract
Celebrating Our Voice: Bata Drums for Black History -- What You Otter Be Doing! Feb. 17 - March 2 -- Kill the Kill Switch -- "Won't Stop Believing" in the Cure -- Service Learning Wants CSUMB to "Like" Them -- Cal State Monterey Bay Shuttle Change -- Performance Group Voices of Freedom Connects the Dots -- Ready, Set, Go! President Obama's Plan for Students of America to Race to the Top --Trabajo a la Vista para Graduados del 2011: Mejora el Panorama Laboral -- Job Opportunities Change for Class of 2011: Graduate Job Climate On the Rise -- What is the Student Center Providing for the Students? -- Celebrating Diversity: CSUMB Recognizes Black History Month with a Variety of Events from Educational Films to Guest Speakers -- DC Waste: Pre vs. Post Consumer -- Healthy Living: Farmer's Market Brings Fresh, Local Products to Marina -- Future of 3D Technology -- Reviving Salinas Nightlife -- The Mucky not so lucky -- Men's Otter Golf Team: Preparing for a Great Season -- D Wins Championships: The Otters Have 18 Wins and Two Losses as They Prepare for the Postseason -- Julian Assange: The Lone Rock Star of he Information Age: Is He a Threat to National Security? --The Grinding Culture : A Look into One of the Most Physically Passionate Cultural Taboos of the Dance Culture -- East Campus Parking Permits Ineffective -- Hydroponics for Beginners: Easy Come, Easy Grow -- Sexual Healing Lick & Tingle -- What Trends do you follow, and why?
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.486 | 0.242 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".