Bibliographic record
Abstract
The first decision tree for the National StrategyThe second decision tree is concerned with the terms for managing sustainably, 1.In respect of the state's international engagements for sustainability, especially the United Nations Millenium Development Goals (MDG) 1 & 7 : Poverty reduction and promotion of environmental protection through sustainable use.http://www.un.org/english/millenniumgoals and the Convention on Biodiversity -Objective 2010; a significant reduction in the current rate of impoverishment of biodiversity at global, regional and national levels, to contribute to poverty eradication and for the benefit of all forms of Life ion Earth.http://www.cbd.int/2010-target/ 2. In the search for a balance between local and national concerns for biodiversity use, national heritage and the safeguard of hunting traditions and access to bushmeat.Gabon is a signatory of the Declaration of Rome on World Food Security, 13 November 1996.This declaration shows the engagement of Gabon to fight poverty and to assure the food security of all of its people.www.fao.org/WFS/index_en.htmCan it give people the right to use wildlife as a means to ensure their food security ?Have citizens the right to use wild meat for money, as well as for food ?The Declaration of Rome ( 1996) is clear on the need to protect biodiversity resources.Gabon is also signatory, among others, of the , Convention on BioDiversity of Rio, 1992 ; the African Convention of Algiers, 1968, and the COMIFAC, which demands sustainable use of all flora and fauna.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".