Der niedersorbische Zunamenatlas: mit vier Karten
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
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.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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