Boundaries, Borders, and Barriers: Marie-Claire Blais and the Archival Adventure
Bibliographic record
Abstract
Literary archives often reflect the individual writer, and, in the case of Marie-Claire Blais, especially illustrate her complexity. An overall picture of the core Blaisian archival collections, including media, in Canada, the United States, and France is briefly presented, with some discussion of challenges posed for the researcher concerning their access and use. To illustrate some insights afforded into Blais’s literary development in the first 10 years of her career, letters from three archives, the Fonds Judith Jasmin in Montreal, the Wilson collections at Yale University, and the Barbara Deming Papers at Radcliffe College, are studied together with related material from Blais’s memoir Parcours d’un écrivain: Notes américaines, Wilson’s published letters and diaries, and Mary Meigs’s autobiography Lily Briscoe: A Self-Portrait. Some observations and ideas concerning multidimensional innovators such as Blais and the archival issues thus raised are explored, with a suggested role for our national institutions.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.056 | 0.070 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".