Bibliographic record
Abstract
Nargi, Lela. The Honeybee Man. Illus. Kyrsten Brooker. New York: Schwartz & Wade, 2011. Print. This charming picture book chronicles the unconventional cottage industry of Fred, a Brooklynite who spends his spare time tending three colonies of honeybees housed on the roof of his townhouse. As the day unfolds, we follow Fred’s bees as they fan out across the borough, bringing back nectar from the herb gardens, flower pots, and even wild blueberry bushes flowering therein. Fred then harvests the honey and distributes jars of it to his neighbours. With this growing popularity of urban agriculture (and urban apiculture), Nargi’s story is a timely one, clearly aimed at progressive young families interested in the connection between local ecology and human community. The book is transparently but not disagreeably didactic: bee behaviour is examined and explained (both within the context of the story and in a two-page appendix), and the processes of beekeeping and honeymaking are illuminated through Fred’s perambulations within his apartment-cum-apiary. Brooker’s illustrations, a combination of gestural painting and collage, have a patchwork, handmade quality well suited to the book’s overarching preoccupation with all things organic and homespun. Her renderings of Brooklyn’s brownstone vistas are simple in their bright, flat planes of colour, but also satisfyingly dense with decoupaged texture and detail. Like the honey made by Fred’s “tireless Brooklyn bees,” her artwork is both a concentration - and a sweetening - of the teeming heterogeneity of urban life.Highly recommended: 4 out of 4 stars Reviewer: Sarah Mead-Willis Sarah is the Rare Book Cataloguer at the University of Alberta's Bruce Peel Special Collections Library. She holds a BA and an MLIS from the University of Alberta and an MA in English Literature from the University of Victoria.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.056 | 0.078 |
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".