Morrison, Elve oral history interview
Bibliographic record
Abstract
\n \n Elve Morrison lived in New Westminster for all but 8 years when she lived on the border of Coquitlam and Burnaby. Both of her parents were Finnish immigrants. Her mother came to New Westminster unmarried with a friend from Finland. Her parents came from the same area in Finland and met in a Lutheran church in New Westminster. Her father worked at Fraser Mills, and eventually became the superintendent of the lumberyard. Her mom worked at Gilley Brothers. Morrison’s first husband worked the river boom at Fraser Mills, later Canadian Western Lumber, and eventually owned by Crown Zellerbach. When Morrison was in high school, it was common for schools to send their top students to find jobs. Morrison, being the top student, was offered two jobs along the New Westminster Waterfront. Her first offer was an accounting position with the Gilley Brothers. She rejected this position because she did not like the dress code. The second position that she was offered was with the Royal City Cannery. Morrison also turned down this position. Throughout the interview Morrison recounts the large companies that existed along the New Westminster waterfront, such as Brackman-Ker and Pacific Veneer. Morrison currently lives in a low-rise condominium on the New Westminster Quay.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.196 | 0.020 |
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".