Bibliographic record
Abstract
There is nothing like the Cambrian until the Cambrian. Andrew Knoll Life on a Young Planet: The First Three Billion Years of Evolution on Earth (2004) Some of these ideas were already touched upon by Darwin, such as the notion that burrowing organisms have a proportionally large impact on their environment, which is now formalized in the concept of ecosystem engineering. Other ideas were unforeseen, such as the role that bioturbation had during the Cambrian explosion. This establishes a strong link between Darwin’s bioturbation book and On the Origin of Species, a connection that would have certainly astounded the author. Filip Meysman, Jack Middelburg, and Carlo Heip “Bioturbation: a fresh look at Darwin’s last idea” (2006) Timing is the complex part of simplicity. Keith Jarrett The Art of Improvisation (2005) Because ichnological analysis commonly emphasizes the long temporal range of most ichnotaxa (see Section 1.2.8), trace fossils have been traditionally overlooked as a source of information in macroevolution. However, comparisons of ichnofaunas through geological time do reveal the changing ecology of organism–substrate interactions. The use of trace fossils in evolutionary paleoecology represents a relatively new trend in ichnology that is providing important information for our understanding of patterns and processes in the history of life. In particular, Bambach (1983) understood the history of life as a process of colonization that implies the exploitation of empty or underutilized ecospace (see also Bambach et al ., 2007). Trace fossils may provide crucial evidence for the recognition of spatial and temporal patterns and processes associated with paleoecological breakthroughs (e.g. Seilacher, 1956, 1974, 1977b; Crimes, 1994, 2001; Buatois and Mángano, 1993b; Buatois et al ., 1998c, 2005; Orr, 2001; Mángano and Droser, 2004; Uchman, 2004a; Carmona et al ., 2004; Jensen et al ., 2005; Seilacher et al ., 2005; Mángano and Buatois, 2007).
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".