A National Vegetation Plot Database for Great Britain
Bibliographic record
Abstract
The GBNVPD (GIVD-code EU-GB-007) is the new centralised repository for the collection and storage of standardised vegetation plot data in Great Britain and the Crown Dependencies. The initial version of the GBNVPD (v1.0) described in this long database report comprises data from 63 individual sources and contains 277,070 samples from 200,733 plots, with a total of 4,463,300 occurrences of 4,086 accepted taxa (3,464 accepted species), surveyed between 1949 and 2024. Of the 63 constituent datasets 52 are newly submitted to the EVA and 9 to ReSurveyEurope. The database is available under a discretionary mixed-access regime and will be maintained and updated continuously in response to further digitisation of historic paper records, collection of pre-existing digitised survey data, and addition of future survey data. Abbreviations: EVA = European Vegetation Archive; GB = Great Britain; GBNVPD = National Vegetation Plot Database for Great Britain and the Crown Dependencies; NVC = National Vegetation Classification; UKCEH = United Kingdom Centre for Ecology and Hydrology; UKSI = United Kingdom Species Inventory.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.083 | 0.048 |
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".