Bibliographic record
Abstract
Abstract The African archaeological record is particularly remarkable in that it covers timescales relevant to all human history and prehistory. Different dating techniques are therefore fundamental to constructing reliable chronologies for the continent. The principal factors that determine the usefulness of a dating technique are (1) applicability to the material in question, (2) the expected precision of the technique, and (3) the age range over which it is expected to be useful. Radiocarbon is applicable to the past fifty thousand years of human history, encompassing the Later Stone Age, Iron Age, and historical periods, and is a highly-refined method applicable to organic materials such as bones, plant matter, charcoal, teeth, and sometimes eggshell. However, African archaeological contexts often present challenges to the preservation of material, and it is important to establish the context of the material under investigation. Materials of preference for radiocarbon dating, such as plant cellulose, are thought to be resistant to alteration during burial (diagenesis). The age ranges of luminescence and uranium-series dating stretch well into the African Middle Stone Age. Luminescence dating is applied to sediments and burnt objects, and uranium-series (U-series) dating is applied to geological materials such as carbonates and stalagmites. In some special cases, U-series dating can also be applied to fossil bones, teeth, and eggshell. For all dating methods the importance of context cannot be overstated. Other techniques, such as archaeomagnetic dating and rehydroxylation (RHX) dating, should be applicable over the historical period, but these new methods are under development. Dating methods are an active area of interdisciplinary research, continuously refined and developed, and collaboration between African archaeologists, geologists, and dating specialists is important to establish accurate regional chronologies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.027 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".