On the limitations of the notion of prehistoric ‘art’:The case of the Cucuteni-Trypillia culture of eastern Europe from the Neo-Chalcolithic
Bibliographic record
Abstract
Professor Daniel Arsenault, along with his wife, Nadine Desbiens, and stepson, Jacob Desbiens-Doyle, were sadly taken from this world in 2016 following a tragic car accident. Daniel was the leading exponent in Canadian Shield rock art. Working in the northern part of Quebec, Daniel explored many hundreds of square kilometres of this vast area for rock art. Working with ethnographers and First Nation people, Daniel became a formidable force in promoting this little known assemblage, lecturing all over the world and stimulating audiences wherever he went. Complementing his knowledge of rock art, Daniel also had a deep understanding of the heritage of the people whose ancestors made the images. Shortly before his death, Daniel was made an Erasmus Mundus Professor at Polytechnic Institute of Tomar in Portugal. Here, he was due to share his wealth of knowledge and enthusiasm about rock art and cultural heritage to an attentive audience. Daniel clearly had much more to offer, and this book is an extension of his ways of thinking. He has left an important legacy that has touched the lives of many, including people who contributed to this volume. The book has 14 thought-provoking chapters and deals with Daniel’s first love - the archaeology of artistic endeavour. It gathers together both academic colleagues and family who share with the reader elements of Daniel’s life. The book is also a serious academic volume, providing the reader with new ideas about the interpretation and dating of rock art, ethnography, heritage and material culture
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.028 | 0.048 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".