Christian Campbell, 41st Annual ODU Literary Festival
Bibliographic record
Abstract
Christian Campbell is the author of Running the Dusk (2010), which won the Aldeburgh First Collection Prize and was a finalist for the Forward Prize for the Best First Collection and the Cave Canem Poetry Prize among other awards. Running the Dusk was translated into Spanish and published in Cuba as Correr el Crepúsculo (2015). Campbell studied at the University of Oxford as a Rhodes Scholar and has received awards and fellowships from Cave Canem, the Arvon Foundation, the Lannan Foundation, the Vermont Studio Center, Bread Loaf, and elsewhere. Campbell delivered the fifteenth annual Derek Walcott Lecture for Nobel Laureate Week in St. Lucia and won the Art Writing Award from the Ontario Association of Art Galleries for his work on Jean-Michel Basquiat. He was recently the inaugural writer-in-residence at the Center for African American Poetry and Poetics at the University of Pittsburgh.
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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 | 0.001 | 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 | 0.014 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.072 | 0.014 |
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".