Competitive management for export of roses from Mexico 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
between Mexico and Canada and to propose competitive management strategies that could be implemented in the rural economic units to consolidate the presence of Mexican roses in the Canadian market. Design/methodology/approach: The methodological process to fulfill the objectives of this study uses the deductive approach, since we start from an analysis of the rose market in Canada in order to determine the competitive management strategies. Gathering information was conducted in platforms of agrifood documental information and statistics in the national and international spheres. Results: Mexico has excellent agro-environmental conditions, efficient international logistics, solid infrastructure, a valid trade agreement with Canada (T-MEC), and outstanding experience in agricultural production of roses. In addition, there is a significant demand in the Canadian rose market that has been dominated in recent years and until today by Colombia and Ecuador. Limitations on study/implications: It is a study that could be used as reference for any agricultural producer, rural production society, of international trade company that wants to penetrate the rose market and its exports from Mexico to Canada. Findings/conclusions: Finally, this study evidences the importance of taking advantage of the available commercial opportunities and to promote synergy between the public and private sectors to drive the growth of agroindustry of roses in Mexico and to contribute to economic development of the country. With an intelligent approach and strategic execution, Mexico has the potential of becoming a prominent actor in the export market of roses to Canada in the coming years.
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) | 0.000 | 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