Ediacaran ultra-weak geomagnetic field, oxygen rise, and the diversification of macroscopic animals
Bibliographic record
Abstract
A major discovery in the last 5 years has been the recognition that the geomagnetic field was at ultralow field strengths, some ten times weaker than the present-day, during the Ediacaran Period. These ultralow values were first reported from single crystal paleointensity analyses of 565 Ma rocks of the Sept Îles Mafic Intrusion Suite (Bono et al., Nature Geosci., 2019), and were later confirmed by studies of dikes and lavas from other sites in Ukraine and Canada (e.g., Thallner et al., EPSL, 2021). The ultralow values are followed by a rapid increase in field strength in the early Cambrian (Zhou et al., Nature Commun., 2022) and together these signals are consistent with initial nucleation of Earth’s inner core, as predicted by thermal models and geodynamo simulations (Davies et al., GJI, 2022). An updated timeline incorporating new paleointensity data from several localities in North America, South America and Africa highlights a striking temporal correspondence between the ultralow field, the Ediacaran diversification of macroscopic animals, and some geochemical indicators for the rise of oxygenation. The onset of inner core growth and unusual state of the geomagnetic field should not correspond with animal evolution or oxygenation unless changes in the Ediacaran magnetosphere attendant with the ultralow field somehow affected the atmosphere, oceans and/or biosphere. We will consider these possibilities.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".