Bibliographic record
Abstract
Honeyman, Kay. The Fire Horse Girl. New York: Arthur A. Levine Books - Scholastic Inc, 2013. Ebook.What would you do if you had a chance to be free? In the novel, The Fire Horse Girl, the protagonist Jade Moon dreams of escaping her traditional Chinese household where it seems she can do nothing right. Born in the Year of the Fire Horse, a particularly bad year for girls to be born, Jade Moon is destined to bring tragedy to her family, or so she has been raised to believe. When a visitor comes to the small village of Jinjiu on the last day of the Year of the Water Dog, February 15, 1923, Jade Moon’s life changes forever.Sterling Moon has come with a proposal for Jade Moon’s father: come to America, and save your family from poverty and subsistence. As with all decisions in the household, Jade Moon is never consulted, but finds herself traveling first to Hong Kong, and then America. The promises of a new land and the supposed freedoms it offer are intoxicating, and author Kay Honeyman does an excellent job of helping the reader feel the anticipation and excitement that Jade Moon experiences. When not everything goes as planned, the reader is completely enthralled in Jade Moon’s attempts to get out of trouble alive. This is a story of immigration, racism, culture shock, traditions held onto and traditions torn away; a story of China and America in the past, with so much to teach the reader about the ramifications for the present and future. The author has created a world that is easy to fall into, and hard to forget.Highly recommended: 4 out of 4 starsReviewer: Erin Graas
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.073 | 0.042 |
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".