International logistics of the export of quinoa to Canada
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 paper focuses on the logistics to export Colombian quinoa to Canada, establishing the best option in terms of packaging, packaging, storage and transportation to carry out this operation. It is explained in general terms the logistics of the process so that it can be used as a guide for future exports of this product. That is why the objective is to carry out this logistics that encourages the export of quinoa and create certain parameters that help in the development of the sector, the main methodology of this work was the use of descriptive means and collection of information by physical and cybernetic means. It begins with the product in optimal conditions for export in terms of health and consumption, first establishes the most suitable type of container for its preservation and conservation. Having this clear, the packaging is selected to group a certain number of individual packages and thus make the logistics and transport process more efficient and simple. It is established a possible order of the loading units in the storage warehouse to then quickly and efficiently load the container in which the product will be transported by land to the port of shipment and from there in the maritime area to the destination port in Canada.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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