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
This doctoral dissertation studies the significance of school maps in education in detail and complements findings by experts from Slovenia and abroad with new insights. Based on the studies conducted, textbooks remain the predominant method for presenting cartographic material in the educational system, and therefore the main focus is on the maps used in textbooks. \nThe concluding thesis proceeds from an analysis of Slovenian curricula and their comparison with selected curricula in other European countries, Canada, and Australia. The findings are also based on an extensive analysis of the cartographic knowledge of Slovenian primary-school and secondary-school students, teachers’ preferences, and the experience of the editors that incorporate cartographic material into textbooks. These analyses were carried out using a survey and interviews. The results showed that, compared to the curricula in other countries, the Slovenian curricula provide extensive and thorough cartographic material, especially from the fourth grade onwards. Nonetheless, the students show gaps in certain segments of cartographic knowledge of Slovenia. \nIn order to study the causes for this, the entire cartographic communication system was examined—from the cartographers that encode the messages, to cognitive maps, which are the result of users’ mental decoding of messages provided by the map. The study adds to the cartographic design principles that will serve as a starting point for preparing the best possible school maps for teaching in the future and for further development of school cartography.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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