Bibliographic record
Abstract
Cass Reisender doesn’t enjoy her psychic abilities. They appeared after her parents were killed in a tragic accident and led her to Madame Freyja, a travelling fortune teller and all-round terrible person. Swearing to leave both her psychic sensitivity and Madame Freyja behind, Cass starts again in Calgary, Alberta, a city with nothing supernatural about it at all. Then Cass touches a strange antique device and her new life is blown apart. Transported to West Orange, New Jersey, in the year 1900, Cass meets the dashing Erik Thorvaldsen in Thomas Edison’s – that Thomas Edison’s – laboratory. As she and Erik grow closer, Cass finally accepts herself as she finds love in a life lived across centuries. Yet Madame Freyja lurks in the shadows, hungry for the power of the time travel device. When Madame Freyja strikes, Cass must face both her fears and her past or lose her connection to Erik forever. Flicker is a playful, fast-paced romp through the golden age of invention, mythology, and the supernatural. This is a novel for everyone who believes in the power of scientific curiosity and the strength of the human heart.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.364 | 0.169 |
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".