Anne of Green Gables Bundle 1-3
Bibliographic record
Abstract
‘Anne has as many shades as a rainbow and every shade is the prettiest while it lasts…’ Fall in love with the most charming of children’s characters, ‘Anne of Green Gables’, in Lucy Montgomery’s complete trilogy. Inquisitive, insightful, and full of imagination, Anne is a bright, bubbly, and fiery force to be reckoned with. But she’s also orphaned and alone – all at the grand old age of 11. When Anne is mistakenly sent to live with ageing siblings, she soon encounters the trials and tribulations of both an imperfect childhood, alongside the messy facts of adult life. She’ll make those around her think twice with her spirited heart, but she’ll also learn to navigate social expectations. Weaving a touching and intoxicating coming-of-age tale of one girl’s search for belonging, Lucy Montgomery’s much-loved series is the ideal tale for fans of Netflix’s ‘Anne with an E’. Lucy Maud Montgomery (1874-1942) was a Canadian author, poet, and essayist. Best known for her novel ‘Anne of Green Gables’, most of Montgomery’s works are set in Canada’s smallest province, Prince Edward Island. Now a literary and cultural icon, ‘Anne of Green Gables’ remains one of the best-selling books worldwide and has been adapted for both stage and screen.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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 teacher head, 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".