Bibliographic record
Abstract
W hen an adolescent Maud Montgomery pub- lished her first poem, "On Cape Le Force," in the Daily Patriot (Charlottetown) in november 1890, mere days before her sixteenth birthday, her reaction on seeing her words and her name in print for the first time was palpable: as she wrote in a journal entry dated a week after the poem's publication, "i grew dizzy -the letters danced before my eyes and i felt a curious sensation of choking … i can't find the words to express my feelings." 1 Looking back at this moment in an essay published in 1911, three years after her first novel, Anne of Green Gables (1908), became a literary sensation, she called the experience of seeing this poem in print "the first sweet bubble on the cup of success," adding, "The first moment we see our first darling brain-child in print is a very wonderful one!" 2 Yet, as evidence of an evolution in her thinking once she had become a bestselling novelist, it was the earliest experience of being paid for her work that she later identified as the moment she had "arrived" -even if her accounts differ of when that occurred.3 she was born Lucy Maud Montgomery on 30 november 1874, in Clifton (now new London), Prince Edward island, the only child of Hugh John Montgomery and Clara Woolner Macneill, both of whom were from established Prince Edward island families with ancestral links to scotland and England. in the first known published account of her writing career, which appeared in the Boston Journal five months after the publication of Anne of Green Gables, she claimed, "Ever since i can remember i wrote stories and verse for my own amusement.When i
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.528 | 0.321 |
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".