Bibliographic record
Abstract
Drizzleville is a novella in which four estranged young adults who used to be in a closely-knit writing club converge on the weird town of Drizzleville, Alberta to attend their high school reunion– an event that happens to fall on the tenth anniversary of their friend Nick's death. Buddy Werkman drives a decommissioned hearse and holds onto souvenirs from his time spent with Nick and the other members of the club, specifically an audio cassette recording of a club meeting, which he listens to on the way to Drizzleville. When the four characters ––Buddy, Regi Philips, Jill Olsen, and David Leroy–– meet in the rustic Hotel Siobhan, the persistent presence of Nick in Buddy's psyche threatens to unveil the secret they've kept all these years regarding Nick's death. The novella is interrupted by flashbacks of the five principle characters as adolescents, as well as excerpts from their own myths and tall-tales written in a binder they share, which has an uncanny influence on the world outside their book.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.146 | 0.029 |
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".