Data for "Climate outweighs human effects on vegetation properties during the early-to-mid Holocene"
Bibliographic record
Abstract
Data for analyses used in the PastHumanImpact project published in a manuscript "Climate outweighs human effects on vegetation properties during the early-to-mid Holocene". All R code and workflows to reproduce the data analyses and figures are available at HOPE-UIB-BIO/PastHumanImpact.Usage:Each zip file should be extracted and placed into the `Data` folder, following the README file in the mentioned GitHub repo.❗The data is under a CC BY-NC-ND licence, which requires approval from data owners before use (read here for more details). Specifically, please contact Xianyong Cao (xcao@itpcas.ac.cn) to share the Asian fossil pollen data.❗Citation:If you want to use the data, please cite the mentioned paper "Felde et al. Climate outweighs human effects on vegetation properties during the early-to-mid Holocene". DOI: 10.21203/rs.3.rs-4692574/v1
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".