Bibliographic record
Abstract
Elizabeth Blight, who developed the still image, documentary art, and cartographic holdings of the Archives of Manitoba over a career that spanned 41 years, died of cancer on 11 April 2019 at St. Andrews, Manitoba.She was 75.Rarely referred to as "Elizabeth," she was known as Betts to family and as Betty to friends.She is remembered as being "the heart and soul of archives in Manitoba."Betty was born in Toronto, where her father was training bomber pilots during the Second World War.After the war, the family settled in Regina.She attended Herchmer and Benson schools and, from a young age, was involved in the arts, taking ballet lessons and following in her mother's footsteps as a meticulous craftswoman.Throughout her high school and university days, she directed plays and took a leadership role in campus activities.Betty received her undergraduate degree as part of the first class to graduate at the University of Regina campus where her father was Registrar.Following graduation, her sense of adventure took her to England, where she spent a year working for the Bank of Montreal in London and exploring all that the country had to offer.
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 | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.079 | 0.025 |
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".