Bibliographic record
Abstract
Colombian flower growers have turned their gaze to the domestic market because only 5% of flower production in the country is marketed domestically. The remaining 95% is exported mainly to the United States (EL TIEMPO, 2019). Since its inception, floriculture was thought of as an export sector, which has boosted the quality of the products and in general of said industry, since it has faced demanding markets, and even more so, given the characteristics of the products (perishable) It has induced flower growers to develop cultivation, harvest and post-harvest systems according to the standards of the purchasing countries, such as the United States, Canada, European countries, Japan, etc. Therefore, Colombia has the experience to serve its own market. Every day the sector at the national level has been growing due to the great opportunity that presents itself. However, there are very few businesses that focus on the luxury market to supply domestic consumption and those that handle these characteristics of quality and exclusivity have very high prices that only the upper class can acquire. Taking into account the knowledge acquired in the undergraduate business administration of the Pontificia Universidad Javeriana, different diagnostic, planning and research tools were applied to determine the viability of Fiori. In the following chapters the reader will be able to find a detailed investigation and the development of a research question where very important information, recommendations and conclusions will be highlighted that will give a clear idea about the development of this business plan.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".