Effet des paramètres locaux sur le développement de la végétation dans le Vallon de St. Anna di Vinadio (Alpes Maritimes; Italie)
Bibliographic record
Abstract
:Abstract: Study of the modern pollen rain and comparison of two pollen sequences covering the Late-Glacial and Holocene periods from two sites in the Subalpine belt (Laghi dell’Orgials, 2,130 m, S-W exposition and Lago delle Fate, 2,240 m, E exposition), one on each side of the St. Anna di Vinadio Valley (Italian Maritime Alps), enabled us to place the vegetation succession of this belt in its regional history, highlighting the differences due to physiographic factors and/or human influence. During the Late-Glacial period the two sites were surrounded by Artemisia steppes and located above the timberline formed by pines. Mesophilous deciduous trees (Tilia, Ulmus, and deciduous Quercus) in the lowland are detectable after 12,000 BP. At the transition to the Holocene period, the Artemisia steppes were replaced by grasslands. There were considerable differences between the two sites at the beginning of the Holocene: Betula became important at Fate after 9,700 BP, while the presence of Larix is registered at Orgials before 8,000 BP. High Pinus percentages preceding 9,000 BP must be attributed to transport by wind to both sites. After 9,000 BP a subalpine pine woodland developed at Fate. The development of these pioneer taxa preceded the development of Abies in the mountain belt, which is registered at both sites at 7,820 BP. During the Roman age (1,875 BP), major deforestation occurred, affecting mountain belt fir-woods and subalpine pine-woods and causing forest opening. The increase of Poaceae since this period is a result of the extension of present-day pastures with Nardus stricta.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".