Open Access zu 13 500 europäischen Vegetationsaufnahmen aus dem Reinhold-Tüxen-Archiv
Bibliographic record
Abstract
About 13,500 phytosociological relevés (vegetation plot samples) of the Reinhold-Tüxen Archive at the Institute of Geobotany, Leibniz Universität Hannover, collected between 1925 and 1979, were digitalized in the years 2000–2003. These relevés come from 25 European countries and Canada, the geographical focus being in north-western Germany. However, due to the file format then used, the data have proved to be hardly accessible for vegetation scientists and have barely been used since. In an effort to make the wealth of phytosociological and biodiversity information more widely accessi-ble for scientists, the data have now been harmonized, taxonomically referenced, and transferred to the well-established phytosociological database format Turboveg. Numerous unpublished relevés of the Tüxen legacy may now be utilized open-access under the vegetweb 2.0 and EVA databases for local and regional geobotanical, phytosociological, macroecological and global change research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.056 | 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".