Der niedersorbische Zunamenatlas: mit vier Karten
Bibliographic record
Abstract
Work is in progress to create an Atlas of Lower Sorbian Surnames with approximately 70 colered name cards on the basis of circa 63.000 records of names taken from sources of the 14. to 18. century. The cards will include the surnames which developed from Slavic composita as well as from their contracted and/or affectionate forms, and in addition surnames derived from occupational names and official titles, and from nicknames and ethnonyms. A few cards will be dedicated to anthroponymic suffixes as well as to combined areals. Every card will have a commentary to verbally describe the geographical distribution of the names. Statistical data concerning the number of diverse names as well as bearers of the names provide information about the productivity of each anthroponymic basis, and in addition, their occurrence in deanthroponymic place names in Lower Lusatia will be included. The submitted paper presents an introduction to the subject, goal, method and initial results of our research to date. As an example, four colered cards illustrate the territorial distribution of 68 diverse surnames and two suffixes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.015 |
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".