International Field Conference and Workshop on Tephrochronology, Volcanism and Human Activity: “Active Tephra in Kyushu, 2010”, Kirishima City, Kyushu, Japan
Bibliographic record
Abstract
In May 2010, the mid-congress of INQUA, the International Focus Group on Tephrochronology and Volcanism (INTAV) was held in Kirishima City, Kagoshima Prefecture, Japan. The local organizing committee INTAV-J (based on the Japan Association for Quaternary Research) started to plan the conference in 2007. Financial support was provided by Tokyo Geographical Society in addition to INQUA, PAGES, WEST JEC, Asahi Insatsu Co., Ltd and Paleo Labo Co., Ltd. The conference focused on eight scientific themes and calls for papers. We also invited six keynote speakers. A total of 76 participants attended the conference from 11 countries (Australia: two, Canada: four, Germany: one, Indonesia: one, Japan: 42, New Zealand: four, Philippines: one, Russia: one, Sweden: three, UK: 12, USA: five), and 37 persons attended the post-conference excursion (15th, 16th, and 17th). Forty-nine oral presentations and 38 poster presentations were given over three days (10th, 11th and 14th May). On 12th and 13th May, one-day intra-conference field trips were organized for all participants. Papers emerging from the conference will be published in a special issue of Quaternary International, supported by INTAV executives.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.009 |
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".