Bibliographic record
Abstract
The arrival of the Canadian Pacific Railway in Coal Harbour in 1887 challenged the traditional public water access to the Burrard Inlet, as the street-end location at the foot of Carrall Street was the longstanding water access to the preceding community of Gastown. Vancouver City Wharf, the would-be public dock, shared this favoured location with boatbuilder Andrew Linton. City Wharf was sold to Union Steamships in 1889, which was a company that understood the meaning of being at this critical historical node. This article explores the history of this maritime gateway, explaining how the company heritage of Union Steamships is conjoined with that of Gastown at the foot of Carrall. L’arrivée de la Compagnie de chemin de fer du Canadien Pacifique en 1887 a remis en question l’accès public traditionnel à la baie Burrard, étant donné que l’emplacement de Coal Harbour au pied de la rue Carrall avait servi pendant longtemps d’accès à l’eau pour la communauté de Gastown. Le quai de Vancouver, l’éventuel quai public, partageait cet emplacement privilégié avec le constructeur d’embarcations Andrew Linton. En 1889, le quai de Vancouver a été vendu à l’entreprise Union Steamships, qui comprenait bien l’importance d’occuper ce lieu historiquement dominant. Le présent article étudie l’histoire de cette porte d’entrée maritime et explique comment l’héritage de l’entreprise Union Steamships est lié à celui de Gastown au pied de la rue Carrall.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".