Das Reinhold-Tüxen-Archiv am Institut für Geobotanik der Universität Hannover - Digitale Erfassung der Vegetationsaufnahmen -
Bibliographic record
Abstract
The Reinhold Txen Archive at the Institute of Geobotany, University of Hannover -creation of a relev databaseThe phytosociological relevs of the Reinhold Txen Archive at the Institute of Geobotany of the University of Hannover are being systematically transferred into a database.After the digitisation of a large part of the material, the comprehensive archive of Reinhold Txen (1899-1980) will offer an important basis for further research in landscape history and the natural sciences.A large part of the material is threatened by physical decay.The creation of the database ensures safe, long-term storage of the data and a modern access and utilisation medium.The relevs come from 25 European countries and Canada.The main focus of Txen's work, how ever, was northwestern Germany.All of the information on the usually handwritten relevs has been included.A conservative approach is taken to the assignment of species, using Txen's original nomenclature.A separate database was created for synonyms with links to current nomenclature.In addition, the rele vs were geo-referenced.The data can easily be linked to a geographical information system (GIS), thus opening opportunities for further analy sis and display.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".