Bibliographic record
Abstract
In Amelia Frances Howard-Gibbon's charming and deceptively simple pen drawings for her 1859 manuscript 'An Illustrated Comic Alphabet', small children dressed in adults' clothing role-play pastimes and occupations set out in her hand-lettered text – the traditional rhyme 'A is an Archer', also known as 'Tom Thumb's Alphabet'. Decorated letters of the alphabet in red ink embellish each page, along with rustic branch borders. Howard-Gibbon, a young British woman, was working as an art teacher in the small town of Sarnia in Canada West when she created her manuscript. One hundred years later, the Osborne Collection of Early Children's Books in Toronto received 'An Illustrated Comic Alphabet' as a donation. The librarians there determined that Howard-Gibbon's manuscript was the earliest known Canadian picture book, and it continues to be prized today. In 2017, it was featured in an exhibition about alphabet books at the University of British Columbia, 'From Apple Pies to Astronauts'. This chapter delineates the historiography of 'An Illustrated Comic Alphabet' and argues that while 'An Illustrated Comic Alphabet' has been viewed as a precursor to the more accomplished work of Kate Greenaway, it is better understood and appreciated as an innovative variation on illustrated versions of the rhyme 'A is an Archer', which first appeared in print in 1702.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".