Current Developments in Computer Assisted Cartography at the UK Hydrographic Department
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the introduction of Computer Assisted Cartography (CAC) techniques into the chart production process at the UK Hydrographic Department in the early 1970s, automation has come to play an increasingly important role. Current policy is to make use of such techniques wherever they offer benefits in terms of cost-effectiveness or production efficiency. This policy has been pursued since combination of the separate CAC production and development units in 1981. The aim of this paper is to summarise the development of the digital production flowline since 1981, to outline the current objectives for further development of the flowline, and to review the progress that is being made towards achieving those objectives. The paper deals specifically with the use of CAC to support production of the conventional paper chart. Expertise gained in the use of CAC is now being applied to experimental work related to the ‘electronic chart’ concept, but those developments fall outside the scope of this paper.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it