Bibliographic record
Abstract
Everyone should be Greek in his own way! But he should be Greek! johann wolfgang von goethe , “Antik und Modern” trans. P. Marchand (1996), p. 16 Historians of archaeology used to assume that archaeology was a self-evident branch of human knowledge and that its development was inevitable. The growing popularity of relativism among archaeologists has heightened their awareness that archaeology is a field of investigation, or discourse, that has evolved only recently and been anticipated only a few times in human history. It is therefore worth enquiring what kinds of conditions give rise to archaeology and what sorts of archaeology may be the first to evolve. Some histories of archaeology have traced its origins to any interest in what modern archaeologists identify as the material remains of the human past (Schnapp 1997). Others have restricted their focus to the deliberate use of material culture to learn more about the past (Trigger 1989a). These two approaches are obviously historically related and it is possible that the former interest was a prerequisite for the development of the latter. Yet an interest in material remains of the past does not inevitably lead to the development of archaeology, which to a significant degree seems to grow out of interests in the past that are not primarily associated with material culture. I will therefore limit the current study to tracing the use of material culture to study the past, either for its own sake or for some assumed practical purpose.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".