Climate and Tectonic Changes in the Ocean Around New Zealand
Bibliographic record
Abstract
Many countries have recognized climate change due to human activities as one of the most critical issues facing the modern world. However, validating predictive models of the potential anthropogenic impact on shaping the Earth's surface requires the examination and documentation of analogous tectonic and climate changes of the past, working with the paradigm that past environmental changes are keys to understanding the future. A France‐New Zealand research program, which also involves institutions from several other countries, aims to disentangle the impact of tectonics and climate on the landscape evolution of New Zealand over the past million years, at a very high resolution timescale—with steps as small as 100 years, i.e., relating to events such as earthquakes, tsunamis, and cyclones. The 5‐year “Matacore” program (whose name derives from the Matakaoa debris flow coring program, although the program scope is larger than that) began in January 2006 during Leg 152 of R/V Marion Dufresne. The research team collected 31 sediment cores, cumulating 600 meters of soft sediment, during a 15‐day survey around New Zealand. Preliminary results of the program show complex interactions between tectonics and climate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".