Bibliographic record
Abstract
Audio recording and transcript of Thomas Terry's 1979 interview with Shirley Ramsay for the Coal Tyee History Project. Terry describes how he arrived in Nanaimo in 1923 to help coach a soccer team and how he got a job at the Protection Island Mine where he worked for seven years. He talks about sports in Nanaimo and about some of his acquaintances. Terry recalls his first day in the mine and describes what conditions were like. He also compares mining in England to mining on Vancouver Island. Although he wasn't in Nanaimo during the Vancouver Island Coal Miners' Strike, Terry shares his understanding of some of the lasting effects. He explains the Protection Island mining operation, and also describes how there was an air shaft on Newcastle Island. He talks about living in Nanaimo, giving a description of Chinatown and commenting on the city's many bars and hotels. Terry recalls attending mine rescue team competitions, and he also talks about different jobs and equipment in the mines. He explains how miners were penalized when too much rock was found in their cars of coal. Terry concludes the interview by reflecting on conditions during the "Hungry '30s" and he talks about a job he had using explosives to clear land for a golf course in Vancouver.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".