Sample inventories of reference (unbrowsed) and browsed Alnus alnobetula and Salix spp. collected from the Inuvialuit Settlement region, Northwest Territories, Canada, 2022-2024 - VERSION 1.0
Bibliographic record
Abstract
**** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see 'Related Data Set Metadata' link below) has been updated with corrected sample information. Shrub inventory for Alnus alnobetula and Salix spp. samples. Sample collection of Alnus alnobetula and Salix spp. was undertaken in the Inuvialuit Settlement region, Northwest Territories, Canada during field campaigns in 2022, 2023, and 2024. Shrub stems were sampled from both living canopy-forming shrubs, and from beaver-browsed stems. This dataset consists of inventories of shrub samples and subsamples collected for shrub ring width measurements, dendrochronological chronology formation and crossdating. Funding was provided by the UK Research and Innovation Canada Inuit Nunangat UK Arctic research programme (CINUK) grant NE/X002578/1.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".