The archaeological examination of watercraft abandonment in Australia: A retrospective
Bibliographic record
Abstract
The remnants of deliberately discarded watercraft have been a subject of maritime historical and archaeological enquiry for some time. Studies of ships re-utilised as ancient boat burials (such as the Snape Boat), votive offerings (the Cheops ship), or transformed into foundations, and many types of alternate structures (Ronson Ship) and buildings (for example, Niantic and Inconstant) are well known in maritime archaeological literature (see for instance, Kadry, 1986; Delgado, 1979, 1997; Reiss, 1997; O'Keefe, 1999, 2001). So too, the study of collections of vessels abandoned by their owners at the conclusion of their useful lives are noted in many instances; from the discovery of abandoned 18th century bateaux in Quebec, Canada (La Roche, 1987) and huge collections of vessels in Maryland, USA (Shomette, 1994, 1996), to studies of discarded hulks in the United Kingdom (Watson, 1993: 7; Wood, 1996: 6-7; Dobson, 1997: 3; Emery, 1997: 4; Milne, et al., 1998).
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".