Bibliographic record
Abstract
It is with a profound sense of sadness and in credulity that family, friends, and colleagues of Geneviève Allard recently learned of her sudden and untimely death.In the course of her short and brilliant career at Library and Archives Canada (LAC), Geneviève estab lished strong professional and personal rela tionships with archivists, librarians, informa tion managers, federal public servants, and members of the research community who all mourn the passing of an exceptionally tal ented and well-liked leader.She died in her sleep of a heart attack on the evening of 6 June 2011.She had recently celebrated her fortieth birthday.The eldest of three daughters, Geneviève was born in Gatineau, Québec on 14 April 1971.From an early age, her parents impressed upon her the value of a solid education, the virtue of hard work, and the importance of family.Endowed with a natural intellectual curiosity, an ambitious disposition, and a thirst for new experiences, she excelled in her studies and became a role model for her younger sisters.Upon graduation in 1988 from the École secondaire Saint-Joseph de Hull, Geneviève enrolled at the University of Ottawa, where she earned a bachelor's degree in history in 1993.She then earned a Master's degree in history from Université Laval in 1997.Her thesis on Canadian military nursing was the basis of critical articles published in various journals.Her article "Des anges blancs sur le front..." is
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.118 | 0.047 |
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".