Estimación de la huella de carbono en parcelas de quinua orgánica en el sur de Bolivia: Estudio de caso
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
This case study is part of the research project "Creating Indigenous Women's Green Jobs under Low-Carbon COVID-19 Response and Recovery in the Bolivian Quinoa Sector). I estimate the carbon footprint associated with the quinoa production in southern Bolivia based on primary information of 19 plots. Using a cradle-to-gate life cycle analysis approach, under the ISO 14067 standard, and analyzing various emission sources through the Cool Farm Tool, I determine that the carbon footprint generates an average of 741 .7 kg CO2e per plot; and an average of 267.4 kg CO2e per hectare. The main emission sources identified are the use of organic fertilizer (54%), the consumption of fossil fuels (35%) and the use of protection inputs (8%). Considering the declared unit of 1 kg of harvested quinoa, I obtain the carbon footprint results per product, with values ranging between 0.3 and 2.3 kg CO2e/kg of quinoa and an average of 0.98 kg CO2e/ kg of quinoa.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it