A microstratigraphic reevaluation of the Florisbad spring site, Free State Province, South Africa: Formation processes and paleoenvironment
Bibliographic record
Abstract
Abstract The Florisbad spring site has produced a large collection of fossil bones dating to the Middle Pleistocene and several assemblages of Middle Stone Age (MSA) artifacts. The species featured in the faunal collection define the Florisian Land Mammal Age, characterized mainly by grazing ungulates that reflect an open grassland environment. Early MSA artifacts found within the basal layers represent the earliest evidence of human presence at Florisbad, followed by an intact MSA occupation horizon characterized by stone tools and animal bones, in direct association and primary context. These fossils and artifacts were found embedded within sand and peat layers. Previous studies investigated the genesis of such deposits using field descriptions and bulk sedimentological analyses. However, sediments were never studied within their original context, thus leading to difficulties in determining the formation processes of the deposits. Using a multianalytical micro‐geoarchaeological approach including sediment micromorphology, FTIR and XRD, we were able to show that the site is characterized by alternating aeolian sand layers reworked by lacustrine water during the wet phases of the Pleistocene, and peat layers formed in marshes during dry phases. The results confirm most of the previous paleoenvironmental reconstructions and provide a refined stratigraphic sequence of the site.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".