Quesnel, Lowell oral history interview
Bibliographic record
Abstract
Lowell Quesnel was a barber who later became a real estate agent in New Westminster. He moved to New Westminster with his family from Williams Lake in 1946, when he was 13 years old. Quesnel attended St. Peter’s School (grade 6-9) and Duke of Connaught High School (located where New West city hall is now located). He dropped out in grade 12 and took a job at Pacific Veneer on the waterfront. He also worked as an “ice man” at the Queen’s Park arena, before buying his father’s barbershop at Joyce Road (now Joyce Street) at Kingsway in Vancouver for $800. He sold the barbershop approximately a year later (in 1955) for $1600. He then went to work for his father in Elks Barbershop on Carnavon St in New Westminster.1 One summer, when he was 15 or 16 years old, Quesnel and his brother worked at Pacific Coast Terminals (PCT) labelling salmon and stencilling boxes. Quesnel continued working as a barber until the emergence of The Beatles phenomenon of the 1960s, which led to the popularity of long hair for men. Business at the barbershop was so slow that Quesnel decided to work in real estate.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.178 | 0.019 |
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".