International tephra conference “Crossing New Frontiers: Tephra Hunt in Transylvania”, 24 June - 1 July, 2018, Moieciu de Sus, Romania.
Bibliographic record
Abstract
The International Focus Group on Tephrochronology and Volcanism (INTAV) held an international tephra conference, “Crossing New Frontiers: Tephra Hunt in Transylvania”, at the spectacular mountain resort ‘Cheile Gradistei’ Fundata near Moieciu de Sus (Fig. 1), about 30 km southwest of the regional city of Braşov, in the southern Carpathian Mountains of Transylvania, Romania, from 24 June to 1 July, 2018. INTAV (which has operated previously under various names including COT, SCOTAV, and ICCT) is a global tephra research group active within the Stratigraphy and Chronology Commission (SACCOM) of INQUA since its initiation in 1961 (Kobayshi, 1965; Westgate and Gold, 1974; Lowe et al., 2011). It organises specialist tephra meetings every four years or so on average, although the most recent meeting (before this one in Romania) was held in 2010 in Kirishima, Japan (Holt and Lowe, 2010). The Romanian tephra meeting was convened by Daniel Veres (Romania) and Ulrich Hambach (Germany), together with support from the INTAV executive committee of Britta Jensen (Canada), Peter Abbott (UK/Switzerland), Takehiko Suzuki (Japan), Siwan Davies (UK), and David Lowe (New Zealand).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.011 |
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".