Inventory of Meteorological Records in the Labrador/Nunatsiavut and Southwestern Greenland Carried Out by the Moravian Brethren and their Successors Since the 18th Century
Bibliographic record
Abstract
As part of the National Science Centre research project entitled "Reconstructions of Climatic and Bioclimatic Conditions in Greenland and Labrador/Nunatsiavut ca.1770 to 1939 from Moravian Missionary Observations (MORCLIM)", we visited numerous Moravian Church archives across Europe, including the Moravian Church House in Muswell Hill, London; the Unity Archives -Moravian Archives Herrnhut in Germany; and the Moravian Archives in Bethlehem in USA.Additionally, we consulted and checked several other archives and libraries where we suspected early instrumental meteorological data might be located for stations in southwestern Greenland and Labrador (see Fig. 1).A complete list of the archives and libraries visited is available on the project website: https://morclim.umk.pl/pages/research/.During this preliminary archival research, we captured thousands of photographs of original handwritten manuscripts containing early instrumental meteorological data and weather notes (see Fig. 2), as well as secondary compilations of meteorological data found in 18th-and 19thcentury scientific publications.Many of these data, pertaining to air temperature, atmospheric pressure, as well as wind speed and direction, have already been transcribed, quality-controlled, and made available in the open data repository of the Centre for Climate Change Research (https://repod.icm.edu.pl/dataverse/ncu-cccr)under an open license, in accordance with the FAIR principles.Accordingly, the datasets by Demarée et al. (2023), Singh et al. (2023, 2024), and Chmist et al. (2024) are fully Findable, Accessible, Interoperable, and Reusable for further research and analysis.R e f e r e n c e s Chmist, K., A. Araźny, R. Przybylak, P. Wyszyński, and G. Singh (2024), Bioclimatic indices in the north-eastern part of the Labrador Peninsula in the second half of the 18th century, Nicolaus Copernicus
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".