Bibliographic record
Abstract
The use of colour in cartography has received a great deal of attention for its capability to convey information in map-making ever since Jacques Bertin's famous Sémiologie Graphique (published 1967). Since most studies on the use of colour in cartography clearly highlight the communicative power of colour in cartography, it is interesting and surprising that the use of colour to convey messages beyond the declared one is not taken into consideration into these works. The possible attempt of cartographers to imply nationalistic propaganda by their use of colour and its analysis is left to books on cartographic propaganda, to studies on historical atlases, or to articles on thematic maps. To merge these two topics, an analysis of South Tyrolean-themed maps taken from the most important German and Italian historical atlases based on psychological, symbolic, and optical theories is given. The analysed atlases were been published between the end of the processes of national unification and the aftermath of the Second World War, the period in which the South Tyrol was most disputed between German and Italian nationalists.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".