Bibliographic record
Abstract
NiCHE has archived 11 audio presentations from this event This workshop sought to assess available documentary materials for the study of past climates in Canada, as well as prioritize the most important collections / datasets -- from the perspective of Canadian history, the physical and natural sciences, and public interest (policy). Participants helped identify how best to work with and make broadly accessible this material, while identifying research strengths and weaknesses in Canadian climate history. It was put on by the Early Canadian Environmental Data group. If you missed the workshop, but nonetheless have an interest in Canadian climate history, data, methodology or archival materials related to its study, you can watch the presentations. Viewers will get some excellent advice to aid in their research, as well as some refreshing conversations regarding the importance of interdisciplinary studies. Citation: Garcia Herrera, Ricardo. "Logbooks and Other Documentary Sources to Reconstruct Climate Variability in the Last 500 Years." Canadian Climate History Workshop. 24 October 2008. Bio: Ricardo Garcia Herrera teaches Atmospheric Physics in the Complutense University in Madrid. He has done extensive research into climate reconstruction and was instrumental in bringing a large volume of ship logbooks together for climate researchers through Climatological Database for the World's Oceans 1750-1850 (CLIWOC), which was released in 2003. Garcia Herrera is also the co-ordinator of the Spanish network of climate reconstruction from documentary sources (RECLIDO)
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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.435 | 0.013 |
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; both teacher heads agree on what is shown here.
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".