Chapter 2 - Chronology and stratigraphy of the valley systems (Temple landscapes Fragility, change and resilience of Holocene environments in the Maltese Islands)
Bibliographic record
Abstract
Adequate absolute dating is critical to understanding the past, especially where data concerning environmental changes from different sites are being compared, as chronology is often the only reliable way to compare evidence from multiple contexts. The archaeological chronology of Malta is becoming increasingly well resolved and this sets up a challenge – how can we obtain comparable high-resolution chronologies of environmental change in the Maltese Islands? The Maltese landforms pose significant barriers to achieving this goal, as much of the available palaeoenvironmental evidence is limited to cores in alluvial or shallow-marine sediments, which contain materials that have been subject to much re-working through time. In this chapter, we introduce and discuss the various techniques that the FRAGSUS Project has brought to bear on this problem, and review the main approaches used. [excerpt]
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".