Bibliographic record
Abstract
In 1913, Oxford-educated Margaret Gascoigne left England for Montreal in search of new opportunities. In 1915 she established a small school for six students in the study of her downtown Montreal home - the modest but aspiring beginning of what would become known as The Study. Presenting lively images, oral testimonies, and material gleaned from the school’s archives, No Ordinary School explores the evolution of The Study through world wars, the Great Depression, the Quiet Revolution, and many stages of feminism, from its predominantly English Montreal origins into the bilingual and multicultural community that it is today. Always at the forefront of the most progressive educational developments, The Study has encouraged generations of women to transcend the boundaries of their times. Influential alumni include the physicist and Canadian Department of External Affairs civil servant Dorothy Osborne Xanthaky, avant-garde artist Marian Dale Scott, former chief curator and director of the McCord Museum of Canadian History Isabel Barclay Dobell, world-renowned architect Phyllis Lambert, internationally acclaimed pianist Janina Fialkowska, Olympic rowing medalist Andréanne Morin, and tennis star Eugenie Bouchard. Firmly grounded in a wider historical context, No Ordinary School celebrates an exceptional educational institution while paying tribute to its illustrious past and promising future.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.006 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.361 | 0.083 |
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".