Bibliographic record
Abstract
Though the potential of bioenergy in the mitigation of greenhouse gases (GHG) coming from fossil energies is strongly debated, several developed countries such as the United States, the European Union and Japan have for several years already outlined ambitious objectives of incorporating bioenergy into their energy package in order to reduce their GHG emissions, notably in the field of transportation. Bioenergies are presented as an alternative to fossil fuels that is both renewable and relatively clean. The policies implemented give rise to little in the way of imports and yet, for biofuels to reach a 10% share of fuel consumption in transports, the United States, Canada and the EU would need to use 30%, 36% and 72% of their farm lands respectively (Von Lampe, 2006). A very simplified theoretical model of the world economy shows that opening up Bioenergy to trade would result in an increase in GHG emissions if Southern countries have a comparative advantage in the industrial sector, or conversely, a reduction thanks to bioenergy imports if Northern countries have the best performing industrial sector.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.020 | 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; a candidate call from one teacher head, 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".