Bibliographic record
Abstract
Audio recording and transcript of John Peffers's 1979 interview with Bernard McNicholl for the Coal Tyee History Project. Peffers opens the interview by explaining his family's arrival in Canada. He talks about how his father worked in the Wakesiah Mine and how the family lived in Harewood. Peffers shares how he quit school in 1929 at 15 years old to find work to help support the family. He was initially employed at a service station, but later went on to work in the woods and as a coal miner. Throughout the interview he talks about the various mines he worked in, particularly the Number 1 Esplanade Mine, the Number 5 and Number 8 Mines in Cumberland, and the Number 10 Mine in South Wellington. He talks about different coal mining methods, conditions, and equipment used. He also details several injuries and close calls he had while working as a miner. He shares the story of how in 1943 he was "chased" back to coal mining when it was declared an essential job. Peffers concludes the interview by talking about union organizing and perceived social divisions in Nanaimo, and he also shares his opinion about attitudes towards Nanaimo's red-light district.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".