On the Waterfront With the workers on the docks at Vancouver - some observations and experiences
Bibliographic record
Abstract
Prairie-bred, reared in a sheltered and cultured home; for years a Minister of the Gospel and close student of social problems, never having done for pay a day's manual work, the writer of these articles found himself, in 1918, attempting to earn a living as a longshoreman at Vancouver.His past unknown to his fellow-workers, he was able to learn conditions from the inside.In time he became a member of the International Longshoreman's Association Local 38-52 Auxiliary.These articles, written at the time, give intimate glimpses of the life and thought of the labour men.It is hoped they may serve to interpret the viewpoint of labour and that their publication may stimulate an interest in our still unsolved industrial problems. COME ON IN -THE WATER'S FINE!My Winnipeg friends who knew me in connection with church work or social service activities would probably hardly recognize a longshoreman in grey flannel shirt, overalls and slicker, who lines up with his gang alongside a ship or stands waiting in line for his money at the office of the stevedoring company.Yet it isThe Northern Mariner/Le marin du nord, XXVI, No. 1 (January 2016), 48-68
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.050 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".