History of the Great Lakes Charting Advisers (Cooperative Charting by Canada and the United States)
Bibliographic record
Abstract
Canada and the United States, recognizing the need to achieve compatibility in the marine charts produced along their boundary waters, have been cooperating during several decades in exchanging navigational information and working towards common charting standards. The mechanism for effecting these cooperative charting efforts has been the Great Lakes Charting Advisers. Standardization is one of the main aims of most maritime countries involved in the production of marine navigational charts, through their membership in the International Hydrographic Organization. The efforts of Canada and the United States are intended to complement the work of the International Hydrographic Organization in this regard and, in particular, the work of the North Sea International Chart Commission in its preparation of international specifications. The main purpose of this total effort is to provide the marine community with navigation documents that have been prepared to internationally agreed standards. The aim of this paper is to describe the international efforts of Canada and the United States in achieving these goals.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.015 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".