Bibliographic record
Abstract
À la veille de la Conférence « Rio+20 », le secrétaire général de la Francophonie revient, dans cet entretien, sur les apports de la Conférence de Rio en 1992, pour les pays africains en particulier, et sur le chemin parcouru depuis. Il insiste sur sa conviction de la nécessité de solutions communes, malgré la complexité et l’immensité de la tâche, qu’il évoquait en ces termes lors du Forum de Lyon 1 : « Je crois que jamais la conscience de vivre dans un monde unique, dont nous ne pouvons sortir rapidement pour trouver ailleurs des solutions, jamais cette conscience n’a été aussi forte, ni aussi partagée. Mais, malheureusement, je crois que jamais, également, l’enchevêtrement des intérêts, l’expression des besoins, le désir de préserver des acquis n’ont été aussi intenses, aussi complexes, aussi difficiles à analyser et à démêler. Jamais le risque d’incohérence n’a été aussi constant, ni aussi pesant. »
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 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 | 0.016 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".