Des dernières sociétés néolithiques aux premières sociétés métallurgiques : productions lithiques du quart nord-ouest de la France (IIIe-IIe millénaires av. notre ère)
Bibliographic record
Abstract
This thesis focuses on the lithic productions of the transition from Prehistory to Protohistory. Lithic industry has most commonly been studied by prehistorians, however as Protohistory is not their specific period, these productions have been disregarded for long by researchers, due to their ambivalence. Consequently, it was thought that these productions had stopped at the dawn of the Metal age. Nowadays, if the use of stone during the Bronze Age tends to be admitted, many gaps were attested in the north-west quarter of France. That is why we choose this geographical area. This work is based on an analysis of raw materials, on typo-technological studies of around twenty lithic series, as well as bibliographic data from 571 archaeological entities collected within a database. Three main objectives were achieved. The first one being to understand the modalities of acquisition and management of the resources. The impact of geological and geomorphological environment on techno-economic choice of different human groups was also taken into account. The second objective permitted us to characterize manufacturing and consumption economies of the artifacts. It allowed us to identify some of the activities practiced on sites, thus enhancing our knowledge regarding the lifestyles of these populations. The last objective helped us to understand the progressive marginalization of lithic productions during the Metal age thus providing answers about this phenomenon.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".