Bibliographic record
Abstract
Chomping / champing / championing / churlish / … / There’s a wolf at the door / that looks exactly like me Who is the “whiny baby” in this book? Rather than calling names or hurling insults, the candid poems in this collection most often implicate the poet herself. Expansive in form and voice, the poems in Julie Paul’s second collection offer both love letters and laments. They take us to construction sites, meadows, waiting rooms, beaches, alleys, gardens, and frozen rivers, from Montreal to Hornby Island. They ask us to live in the moment, despite the moment. Including a spirited long poem that riffs on the fairy tale “Three Billy Goats Gruff,” these poems are like old friends that at once console and confess. They blow kisses, they remember, and they celebrate the broken and the lost alongside the beautiful. At turns frank, peevish, introspective, and mischievous, the poems share sincere and intimate perspectives on the changing female body, our natural and built landscapes, and the idiosyncrasies of modern life. Whiny Baby calls on us to simultaneously examine and exult in our brief time on earth.
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 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.125 | 0.039 |
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".