Views of the islands: The geographical perception of the Balearic Islands among graduate students in primary education
Bibliographic record
Abstract
Geographic literacy is a field of research with a great tradition. This area was first developed in the British and North American academic circles in the 1980s and 1990s, and research has continued until the present day. The analysis of perception and knowledge of geography has focused on the enclaves (toponyms) mentioned in the mental maps (place location knowledge) prepared by university undergraduate students of the primary education teaching major. However, this focus is also on an approach where few studies have been made, yet it has been facilitated by the incorporation of modern geographic information technologies. The authors test a methodology for surface area and perimeter size analysis on the mental maps of the Balearic Islands made by future teachers, comparing their distortions in relation to the real model. After analyzing the results, the most notable common pattern describing the insular students’ perception of the isles is ethnocentrism, which undoubtedly has important implications in the field of geographic education.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".