BigVocab® A Dictionary-Based Guide to Metrologically Authoritative Vocabulary Testing and Learning
Bibliographic record
Abstract
ABOUT THE AUTHOR...Currently a columnist with EdNews.org, Oliphant is a Stanford PhD whose best known book is A Piano for Mrs. Cimino (Prentice Hall, Reader’s Digest USA, Canada, and Australia), which was also (same title) an award winning film (Monte Carlo) starring Bette Davis.His journalistic articles have appeared in the New York Times, New York Review of Books, Christian Science Monitor, and Los Angeles Times; his academic articles have appeared in Antioch Review, Virginia Quarterly, Midwest Quarterly, and other journals. Earlier works include The Harley Glossary (Mouton) and the novel A Trumpet for Jackie (Prentice Hall).Ebooks currently available without charge from Nonpartisan Education Review:
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.174 | 0.148 |
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".