Bibliographic record
Abstract
This excerpt from a young adult novel, Wish You Were Gone, deals with topics of grief and memory as they intertwine with immigrant experiences and movements towards the global north. The story follows eighteen-year-old, Colombian-American, Maria Molina Herrera, after the passing of her maternal grandmother, Abuelita Lucero. Not to worry, though, because María doesn’t have to grieve. She’ll see her Abuelita again. Not in an, “I’ll see you in my dreams” or supernatural signs kind of way. María’s family can tether the souls of the departed to the living world, essentially bonding her blood and family marriage for eternity. So, everything is great because Abuelita Lucero will return and life can go on as normal. Except not really. María’s connection to her grandmother has been severed by none other than Abuelita herself. For María to be able to talk to her grandmother’s soul, Abuelita had to leave an item in her will for María to use as a conduit. Out of petty resentment over an argument, Abuelita Lucero didn’t leave anything for María’s parents, little brother, or María herself. Confused and hurt by her grandmother’s decision, María decides to take matters into her own hands, not only wanting to fully understand Abuelita’s reasons for doing this, but ultimately fix the rift post-mortem. She enlists the help of both dead and living relatives to undertake the bureaucratic process of inserting her family into Abuelita’s will (yes, even the dead can’t escape legalities) and, in the process, discovers out family secrets that might have been better left alone and now threaten to irreversibly break her family.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.018 |
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".