Migration of legacy data to new media formats for long-time storage and maximum visibility: Modern pollen data from the Canadian Arctic (1972/1973)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This Data Management Plan (DMP) was created using the DMPTool. It describes modern pollen data collected along a 2500 mile (~4000 km) transect in the Canadian Arctic in 1972/73 as part of an NSF funded research project (GB-33497). The project was undertaken at the Institute of Arctic and Alpine Research at the University of Colorado Boulder. This legacy dataset originally stored as a paper copy and on 35-mm film will be migrated to digital formats that allow upload of the dataset to an international open-access library for permanent storage and visibility. This DMP was submitted to the 2015 Best Digital Data Management Plan and Practices - Competition (https://data.colorado.edu/cudmpguidance). The study provides a baseline pollen dataset for the interpretation of Holocene pollen diagrams from this region and for comparison with modern surface pollen samples, allowing the assessment of the effects of modern climate change on Arctic and subarctic ecosystems.
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it