Singh, Jack oral history interview
Bibliographic record
Abstract
At the time of the interview Jack Singh was 82 years old. He has since died. Singh grew up in the Maillardville neighbourhood of Coquitlam. Everyday after school he would walk past the Fraser Rails personnel office, and on June 14th 1945, at age 14, was . Singh worked the “green chain” at Fraser Mills. Singh began working as a longshoreman in 1958, and his first longshore job was at Fraser Mills. The interviewer, who also worked at the waterfront, recalled Singh as being the first East Indian that he knew of at the International Longshoremen’s & Warehousemen’s Union (ILWU) Local 502 in New Westminster. Throughout the interview Singh describes the “hard work” he did as a longshoreman, and his experiences travelling to work at other jobsites in Canada and the US. Singh worked as a longshoreman until 1995, and retired as an operator on the coal dock at Westshore Terminals. Overall, Singh speaks positively about his experience longshoring, as it gave him many opportunities to travel and fun experiences.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.177 | 0.034 |
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".