Bibliographic record
Abstract
Cet article est le dernier que Rosalie Bertell a publie en 2011 avant sa mort en 2012. Elle a collige les resultats importants de sa recherche sur le developpement d’un mouvement secret de geo-militarisme qui a partiellement detruit la vie sur notre planete depuis deja des decennies. Le dereglement de la temperature, les changements climatiques, les catastrophes naturelles toujours plus violentes et frequentes resulteraient de ces manipulations dans le monde. Au lieu d’enqueter sur cette situation, la recente science de la geo-ingenierie tente de sauver la planete epuisee mais paradoxalement elle propage les memes mesures qui ont cause les problemes. Un debat public s’impose autour de ces nouvelles technologies, mais il n’est pas encore developpe. This is the last article Rosalie Bertell wrote in 2011 before she passed in 2012. In this article, her aim is to gather the most important results of her research about the development of a secret “geo-warfare” that is threatening, and has already partly destroyed, the life systems of our planet. Increasing freak weather conditions, climate changes, and seemingly “natural” catastrophes around the world are the possible result of these undertakings by the military worldwide. Further, a recently appearing civil science of “geo-engineering” today presents itslef as the “saviour” of a planet under stress, paradoxically propagating the same measures that may be at the root of the current climate crisis. A public debate of the background and development of these new technologies has not yet taken place.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.047 | 0.024 |
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".