Push and Pole and other great book with author Laura Heffernan
Bibliographic record
Abstract
Laura Heffernan is the award-winning, internationally best-selling author of fun, witty romantic comedies and more serious women's fiction. After a few years of practicing law, she realized that she much preferred arguing with her characters rather than other people. It's easier to win that way.When not watching total strangers get married, drag racing queens, or cooking competitions, Laura enjoys board games, travel, board games, baking, and board games. She lives in the northeast with her husband, the world's most active toddler, and two furry little beasts.Some of Laura's favorite things include goat cheese, Buffy the Vampire Slayer, Battlestar Galactica, the Oxford comma, and ice cream. Not all together. The best place to find her is usually on Twitter, where she spends far too much time tweeting about writing, Canadian chocolate, board games and reality TV.Her latest book, Poll Dancer, is out now.You can contact her at her website, Facebook, Twitter, BookBub, and Goodreads.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.268 | 0.002 |
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; both teacher heads agree on what is shown here.
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".