Bibliographic record
Abstract
Resume: Dans ses recherches sur l'influence de L.M. Montgomery dans les lettres canadiennes, Elaine Kalman Naves a decouvert que cette influence s'exercait bien au-dela de la litterature. Par exemple, chez Mary Pratt, celebre artiste et femme peintre de Terre-Neuve. Dans une entrevue telephonique, cette derniere explique le caractere particulier de l'heritage culturel qu'a legue l'auteur Anne aux pignons verts . Summary: In researching an article for Canadian Living magazine about the life of L.M. Montgomery and her influence on later Canadian writers, Elaine Kalman Naves conducted a series of interviews across the country. Dr.Elizabeth Epperly, currently the President of the University of Prince Edward Island, mentioned to her that Montgomery influenced not only writers, but also women in other professions, citing the case of the distinguished and well-known Newfoundland artist Mary Pratt (b. Fredericton 1935). Elaine Naves subsequently interviewed Mary Pratt by telephone on May 13, 1994, and here is part of their discussion about how powerful stories circulate in a culture. Mary Pratt's subject matter is often taken from her kitchen or house, and it reflects her interest in representing women's domestic lives.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.040 | 0.008 |
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".