Bibliographic record
Abstract
Performed October 30-31, 2009. Cast:Ebenezer Scrooge: Alex RitchieBob Cratchit: Sam BarkerNephew: Beck MartinKathy Cratchit: Amber WilliamsTiny Tim: Emma MyhanJocelyn Jollygoode: Brad LightHugo Hearty: Nathaniel C. WhiteJacob Marley: Bob RitchieMarley's Ghouls: Al Frazier, Chuck Hicks, Kelly Neill, and David WhiteGhost of Christmas Past: Mary McBrideMr. Fezziwig: Riley wallingMrs. Fezziwig: Sarah HackneyIsabel: Haley Jane WittYoung Ebenezer Scrooge: Cameron FrazierGhost of Christmas Present: Craig JonesMrs. Cratchit: Paige EdmisonThomas Cratchit: Carson GentryPeter Cratchit: Ian TullosMartha Cratchit: Mary Margaret LynnHelen: Marcy HammonsTopper: Stephen McBrideTom Jenkins: Brandon Ragsdale Ensemble: Abigail Anklam, Cara Blakemore, Seth Bowden, Michael Brooker, Molly Brooks, Maddie Campbell, Khristian Carnagie, Kenny Dolinger, Jordan Dollins, Donna Doity, Emily Eads, Rachel Filbeck, Lauren Hackney, Emily Helton, Kristofor Hines, Laura Jean Jenkins, Logan Kays, Daniel King, Brenton Kirschner, Blake Krogull, Jerry LaFevers, Amanda Lane, Scotti Beth Lawson, Joshua Little, Carson McGill, Casey Miller, Ashel Parsons, Lisa Pavlova, Bryan Phillips, Elizabeth Provencher, Tony Randolph, JM Seo, Anna B. Scaffer, Marisa Smith, Shelby Sweetser, Kaelyn Tavernit, Aaron Tucker, Sarah Vinzant, Heather Watkins, Megan Wells, Jami Winfrey, and Rob Yates Ensemble Children: Abbey Giboney, Clayton Hoggard, Isaiah Lawson, Emma Kate Mackey, Ty Mote, and Crystal Neill
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.014 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".