Un modelo RSDAIDS para las importaciones de madera de Estados Unidos y sus implicaciones para Colombia
Bibliographic record
Abstract
This paper presents the main results of a model of import demand of wood products in the U.S. and its implications for Colombia. The time length considered here was 1980-1999. The theoretical model used was developed by Deaton and Muellbauer in 1980 and it is called: An Almost Ideal Demand System. This model allows the estimation of price and income elasticities for different types of wood products. The methodology used consists of the Seemingly Unrelated Regression model (SUR), popular in the econometrics literature. This paper shows, on one hand, that despite of the tremendous forest potential that Colombia has, its participation in international markets is negligible. On the other hand, if Colombia decided to develop the forest sector, it would have to face some strong competitors such as Canada and some Asian countries. The cross-price elasticities show that in the case of round wood the majority of countries behaves like complementary goods. The sign of the elasticities are the expected which allows to conclude that the model well fits the data
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".