Material traces of past cultures as a motive for the creation of Spanish place names
Bibliographic record
Abstract
Place names referencing the material traces of past cultures are relatively common in the microtoponymy, of Spanish-speaking areas. Since they were created by rural speech communities completely lacking in historical and archaeological culture, they make it possible to reconstruct how realities of archaeological interest (fragments of tools and building materials, ruins of buildings, dolmens, menhirs, tombs, old coins, inscriptions, engraved or painted cave art, among others) were popularly perceived and interpreted long before becoming objects of scientific study. Taking an extensive toponymic corpus as its starting point, this paper presents an exhaustive classification of such names, differentiating those of a purely descriptive nature from those intended to provide answers to questions concerning the origins, age, and purpose of the enigmatic discoveries. This toponomastic analysis facilitates the rigorous study of the process of onymic creation and its underlying motives.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".