Holocene Fishing in the Big Sea Region of Lake Baikal (Based on Materials from Multilayered Habitation Sites)
Bibliographic record
Abstract
This article offers new data on ancient fi shing in the Big Sea region of Lake Baikal. Materials for this research were recovered during fieldwork conducted at multilayered habitation sites Sagan-Zaba II and Buguldeika II by the joint Russian-Canadian expeditions (a project between Irkutsk State University (Russia) and University of Alberta (Canada)). The research presented here is based on the analysis of ichthyofaunal remains and artefacts associated with fishing activities (hooks, harpoons, net sinkers, and fish imagery). For the first time, we are able to reconstruct not only taxa and fishing techniques used but also to trace which species were consumed during different chronological periods. Chronological assessment of analyzed cultural layers at Sagan-Zaba II and Buguldeika II was done through over 90 AMS radiocarbon dates made on ungulate bones in Oxford Radiocarbon Accelerator Unit. Archaeological periodization of analyzed sites spans from the Mesolithic to the ethnographically contemporary period. Fish species composition at the two sites was compared with that from sites of the Little Sea area of Lake Baikal. These new data added a better understanding of the relative importance and subsistence uses of fish on Lake Baikal during the Holocene period. It has been demonstrated that fishing traditions of Early and Middle Holocene hunter-gatherers were continued by pastoralists, especially in regard to the consumption of deep-water species. It is concluded that ancient populations living on the shores of Lake Baikal exploited a wide range of natural resources, and fishing played a very important part in this.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".