Bibliographic record
Abstract
The Saguenay fjord contains ten port agglomerations, among which that of Port-Alfred-Bagotville is the most important. The port of Port-Alfred started to expand in earnest in 1929, when the Aluminum Company of Canada Limited decided to improve and enlarge its facilities to meet the needs of its new Arvida plant. Today some 2,500 ships call at Port-Alfred yearly and over 3,500,000 tons of cargo are handled annually over its wharves. Imports of industrial commodities, notably aluminum ore from Guiana, make up the greater part of its traffic. The hinterland includes some ten important industrial establishments, distributed among the main centres of the Saguenay - Lake St. John area. Among these, ALCAN is the most important. Port-Alfred plays an important role in this industrial complex. In spite of certain handicaps, traffic pertaining to the aluminum and newsprint industries assures the harbour of con-tinuing prosperity in the years to come. One may even hope that further develop-ments in the hinterland will contribute to future growth of port activity. Located half a mile northeast of Port-Alfred, Bagotville seems more like an appendix of its powerful neighbour than an autonomous port. Its facilities and traffic are quite limited. The main port traffic up until 1965, but now discontinued, consisted of the calls of the Canada Steamship Lines' passenger vessels during the summer season.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.006 |
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".