Congreso Forestal Mundial 2009 (Argentina)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Argentina nos recibio con sus ciudades cosmopolitas, su clima impredecible y muchas personas interesantes que conocer. La delegacion peruana, conformada por unas 40 personas entre estudiantes (la mayoria de la Universidad Nacional Agraria la Molina) y profesionales, se hizo presente en el Xlll Congreso Mundial Forestal realizado en La Rural de Buenos Aires que supero en largamente al realizado en Montreal seis anos atras. Las expectativas para este congreso eran grandes y diversas, puesto que la presion sobre los bosques se veia acrecentada con los problemas del cambio climatico, la deforestacion y la busqueda de nuevas energias que suplanten a los combustibles fosiles; es asi que se desarrolla el congreso con muchas interrogantes que responder y en muchos casos con respuestas que no fueron del todo convincentes
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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 it