The Floristic Heritage Groups of the French Antilles: Operative Elements in the Planning of Natural Environments (The Example of Martinique)
Bibliographic record
Abstract
The primary objective of the details which will be discussed in this article is to set out a general framework necessary to understand the dynamics of the multiple plant ecosystems in relation to the processes of humanisation. This will be within a conceptual orientation of human ecology, biogeography and biological ecology, integrating the time and place, as well as anthropisation and its impacts combined with the data from the studies of the dynamics of the biophysical components of the natural environments. The concepts used to support the arguments are taken from macro-ecology and the human sciences. From an overall perspective, we have highlighted the greatly expanded field of dysfunctions with a view to finding solutions. This allowed us to envisage the possibilities for the reorganisation of the environmental management of Martinique. This future management will make it possible to counteract the factors which are currently contributing to the diminishing resilience of the phytocenoses. This is because the resources associated with the latter should guarantee a sustainable development based on a balance between Nature and Society.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".